Your first neural network

In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of the code, but left the implementation of the neural network up to you (for the most part). After you've submitted this project, feel free to explore the data and the model more.

%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

Load and prepare the data

A critical step in working with neural networks is preparing the data correctly. Variables on different scales make it difficult for the network to efficiently learn the correct weights. Below, we've written the code to load and prepare the data. You'll learn more about this soon!

data_path = 'Bike-Sharing-Dataset/hour.csv'

rides = pd.read_csv(data_path)

rides.head()

	instant	dteday	season	yr	mnth	hr	holiday	weekday	workingday	weathersit	temp	atemp	hum	windspeed	casual	registered	cnt
0	1	2011-01-01	1	0	1	0	0	6	0	1	0.24	0.2879	0.81	0.0	3	13	16
1	2	2011-01-01	1	0	1	1	0	6	0	1	0.22	0.2727	0.80	0.0	8	32	40
2	3	2011-01-01	1	0	1	2	0	6	0	1	0.22	0.2727	0.80	0.0	5	27	32
3	4	2011-01-01	1	0	1	3	0	6	0	1	0.24	0.2879	0.75	0.0	3	10	13
4	5	2011-01-01	1	0	1	4	0	6	0	1	0.24	0.2879	0.75	0.0	0	1	1

Checking out the data

This dataset has the number of riders for each hour of each day from January 1 2011 to December 31 2012. The number of riders is split between casual and registered, summed up in the cnt column. You can see the first few rows of the data above.

Below is a plot showing the number of bike riders over the first 10 days or so in the data set. (Some days don't have exactly 24 entries in the data set, so it's not exactly 10 days.) You can see the hourly rentals here. This data is pretty complicated! The weekends have lower over all ridership and there are spikes when people are biking to and from work during the week. Looking at the data above, we also have information about temperature, humidity, and windspeed, all of these likely affecting the number of riders. You'll be trying to capture all this with your model.

rides[:24*10].plot(x='dteday', y='cnt')

<matplotlib.axes._subplots.AxesSubplot at 0x21db59ec630>

Dummy variables

Here we have some categorical variables like season, weather, month. To include these in our model, we'll need to make binary dummy variables. This is simple to do with Pandas thanks to get_dummies().

dummy_fields = ['season', 'weathersit', 'mnth', 'hr', 'weekday']
for each in dummy_fields:
    dummies = pd.get_dummies(rides[each], prefix=each, drop_first=False)
    rides = pd.concat([rides, dummies], axis=1)

fields_to_drop = ['instant', 'dteday', 'season', 'weathersit', 
                  'weekday', 'atemp', 'mnth', 'workingday', 'hr']
data = rides.drop(fields_to_drop, axis=1)
data.head()

	yr	holiday	temp	hum	windspeed	casual	registered	cnt	season_1	season_2	...	hr_21	hr_22	hr_23	weekday_0	weekday_1	weekday_2	weekday_3	weekday_4	weekday_5	weekday_6
0	0	0	0.24	0.81	0.0	3	13	16	1	0	...	0	0	0	0	0	0	0	0	0	1
1	0	0	0.22	0.80	0.0	8	32	40	1	0	...	0	0	0	0	0	0	0	0	0	1
2	0	0	0.22	0.80	0.0	5	27	32	1	0	...	0	0	0	0	0	0	0	0	0	1
3	0	0	0.24	0.75	0.0	3	10	13	1	0	...	0	0	0	0	0	0	0	0	0	1
4	0	0	0.24	0.75	0.0	0	1	1	1	0	...	0	0	0	0	0	0	0	0	0	1

5 rows × 59 columns

Scaling target variables

To make training the network easier, we'll standardize each of the continuous variables. That is, we'll shift and scale the variables such that they have zero mean and a standard deviation of 1.

The scaling factors are saved so we can go backwards when we use the network for predictions.

quant_features = ['casual', 'registered', 'cnt', 'temp', 'hum', 'windspeed']
# Store scalings in a dictionary so we can convert back later
scaled_features = {}
for each in quant_features:
    mean, std = data[each].mean(), data[each].std()
    scaled_features[each] = [mean, std]
    data.loc[:, each] = (data[each] - mean)/std

Splitting the data into training, testing, and validation sets

We'll save the data for the last approximately 21 days to use as a test set after we've trained the network. We'll use this set to make predictions and compare them with the actual number of riders.

# Save data for approximately the last 21 days 
test_data = data[-21*24:]

# Now remove the test data from the data set 
data = data[:-21*24]

# Separate the data into features and targets
target_fields = ['cnt', 'casual', 'registered']
features, targets = data.drop(target_fields, axis=1), data[target_fields]
test_features, test_targets = test_data.drop(target_fields, axis=1), test_data[target_fields]

We'll split the data into two sets, one for training and one for validating as the network is being trained. Since this is time series data, we'll train on historical data, then try to predict on future data (the validation set).

# Hold out the last 60 days or so of the remaining data as a validation set
train_features, train_targets = features[:-60*24], targets[:-60*24]
val_features, val_targets = features[-60*24:], targets[-60*24:]

Time to build the network

Below you'll build your network. We've built out the structure and the backwards pass. You'll implement the forward pass through the network. You'll also set the hyperparameters: the learning rate, the number of hidden units, and the number of training passes.

<img src="assets/neural_network.png" width=300px>

The network has two layers, a hidden layer and an output layer. The hidden layer will use the sigmoid function for activations. The output layer has only one node and is used for the regression, the output of the node is the same as the input of the node. That is, the activation function is $f(x)=x$. A function that takes the input signal and generates an output signal, but takes into account the threshold, is called an activation function. We work through each layer of our network calculating the outputs for each neuron. All of the outputs from one layer become inputs to the neurons on the next layer. This process is called forward propagation.

We use the weights to propagate signals forward from the input to the output layers in a neural network. We use the weights to also propagate error backwards from the output back into the network to update our weights. This is called backpropagation.

Hint: You'll need the derivative of the output activation function ($f(x) = x$) for the backpropagation implementation. If you aren't familiar with calculus, this function is equivalent to the equation $y = x$. What is the slope of that equation? That is the derivative of $f(x)$.

Below, you have these tasks:

1. Implement the sigmoid function to use as the activation function. Set self.activation_function in __init__ to your sigmoid function.
2. Implement the forward pass in the train method.
3. Implement the backpropagation algorithm in the train method, including calculating the output error.
4. Implement the forward pass in the run method.

class NeuralNetwork(object):
    def __init__(self, input_nodes, hidden_nodes, output_nodes, learning_rate):
        # Set number of nodes in input, hidden and output layers.
        self.input_nodes = input_nodes
        self.hidden_nodes = hidden_nodes
        self.output_nodes = output_nodes

        # Initialize weights
        self.weights_input_to_hidden = np.random.normal(0.0, self.input_nodes**-0.5, 
                                       (self.input_nodes, self.hidden_nodes))

        self.weights_hidden_to_output = np.random.normal(0.0, self.hidden_nodes**-0.5, 
                                       (self.hidden_nodes, self.output_nodes))
        self.lr = learning_rate
        
        #### TODO: Set self.activation_function to your implemented sigmoid function ####
        #
        # Note: in Python, you can define a function with a lambda expression,
        # as shown below.
        self.activation_function = lambda x : 1 / (1 + np.exp(-x))  # Replace 0 with your sigmoid calculation.
        
        ### If the lambda code above is not something you're familiar with,
        # You can uncomment out the following three lines and put your 
        # implementation there instead.
        #
        #def sigmoid(x):
        #    return 0  # Replace 0 with your sigmoid calculation here
        #self.activation_function = sigmoid
                    
    
    def train(self, features, targets):
        ''' Train the network on batch of features and targets. 
        
            Arguments
            ---------
            
            features: 2D array, each row is one data record, each column is a feature
            targets: 1D array of target values
        
        '''
        n_records = features.shape[0]
        delta_weights_i_h = np.zeros(self.weights_input_to_hidden.shape)
        delta_weights_h_o = np.zeros(self.weights_hidden_to_output.shape)
        for X, y in zip(features, targets):
            #### Implement the forward pass here ####
            ### Forward pass ###
            # TODO: Hidden layer - Replace these values with your calculations.
            hidden_inputs = np.dot(X,self.weights_input_to_hidden) # signals into hidden layer
            hidden_outputs = self.activation_function(hidden_inputs)  # signals from hidden layer

            # TODO: Output layer - Replace these values with your calculations.
            final_inputs = np.dot(hidden_outputs,self.weights_hidden_to_output) # signals into final output layer
            final_outputs = (final_inputs) # signals from final output layer
            
            #### Implement the backward pass here ####
            ### Backward pass ###

            # TODO: Output error - Replace this value with your calculations.
            output_error = y - final_outputs # Output layer error is the difference between desired target and actual output. 
            
            # TODO: Backpropagated error terms - Replace these values with your calculations.
            output_error_term = output_error ##* final_outputs * (1 - final_outputs)
            # TODO: Calculate the hidden layer's contribution to the error
            hidden_error =np.dot(output_error_term,self.weights_hidden_to_output.T)##output_error_term in place of output_error
            
            hidden_error_term = hidden_error * hidden_outputs * (1 - hidden_outputs)

            # Weight step (input to hidden)
            delta_weights_i_h += hidden_error_term * X[:,None]
            # Weight step (hidden to output)
            print(output_error_term)
            print(hidden_outputs.T)
            delta_weights_h_o +=  output_error_term * hidden_outputs[:,None]

        # TODO: Update the weights - Replace these values with your calculations.
        self.weights_hidden_to_output += self.lr * delta_weights_h_o /n_records # update hidden-to-output weights with gradient descent step
        self.weights_input_to_hidden += self.lr * delta_weights_i_h /n_records # update input-to-hidden weights with gradient descent step
 
    def run(self, features):
        ''' Run a forward pass through the network with input features 
        
            Arguments
            ---------
            features: 1D array of feature values
        '''
        
        #### Implement the forward pass here ####
        # TODO: Hidden layer - replace these values with the appropriate calculations.
        hidden_inputs = np.dot(features,self.weights_input_to_hidden) # signals into hidden layer
        hidden_outputs = self.activation_function(hidden_inputs) # signals from hidden layer
        
        # TODO: Output layer - Replace these values with the appropriate calculations.
        final_inputs = np.dot(hidden_outputs,self.weights_hidden_to_output) # signals into final output layer
        final_outputs = (final_inputs) # signals from final output layer 
        
        return final_outputs

def MSE(y, Y):
    return np.mean((y-Y)**2)

Unit tests

Run these unit tests to check the correctness of your network implementation. This will help you be sure your network was implemented correctly befor you starting trying to train it. These tests must all be successful to pass the project.

import unittest

inputs = np.array([[0.5, -0.2, 0.1]])
targets = np.array([[0.4]])
test_w_i_h = np.array([[0.1, -0.2],
                       [0.4, 0.5],
                       [-0.3, 0.2]])
test_w_h_o = np.array([[0.3],
                       [-0.1]])

class TestMethods(unittest.TestCase):
    
    ##########
    # Unit tests for data loading
    ##########
    
    def test_data_path(self):
        # Test that file path to dataset has been unaltered
        self.assertTrue(data_path.lower() == 'bike-sharing-dataset/hour.csv')
        
    def test_data_loaded(self):
        # Test that data frame loaded
        self.assertTrue(isinstance(rides, pd.DataFrame))
    
    ##########
    # Unit tests for network functionality
    ##########

    def test_activation(self):
        network = NeuralNetwork(3, 2, 1, 0.5)
        # Test that the activation function is a sigmoid
        self.assertTrue(np.all(network.activation_function(0.5) == 1/(1+np.exp(-0.5))))

    def test_train(self):
        # Test that weights are updated correctly on training
        network = NeuralNetwork(3, 2, 1, 0.5)
        network.weights_input_to_hidden = test_w_i_h.copy()
        network.weights_hidden_to_output = test_w_h_o.copy()
        
        network.train(inputs, targets)
        self.assertTrue(np.allclose(network.weights_hidden_to_output, 
                                    np.array([[ 0.37275328], 
                                              [-0.03172939]])))
        self.assertTrue(np.allclose(network.weights_input_to_hidden,
                                    np.array([[ 0.10562014, -0.20185996], 
                                              [0.39775194, 0.50074398], 
                                              [-0.29887597, 0.19962801]])))

    def test_run(self):
        # Test correctness of run method
        network = NeuralNetwork(3, 2, 1, 0.5)
        network.weights_input_to_hidden = test_w_i_h.copy()
        network.weights_hidden_to_output = test_w_h_o.copy()

        self.assertTrue(np.allclose(network.run(inputs), 0.09998924))

suite = unittest.TestLoader().loadTestsFromModule(TestMethods())
unittest.TextTestRunner().run(suite)

.....

[ 0.30001076]
[ 0.4850045   0.45512111]

----------------------------------------------------------------------
Ran 5 tests in 0.015s

OK

<unittest.runner.TextTestResult run=5 errors=0 failures=0>

Training the network

Here you'll set the hyperparameters for the network. The strategy here is to find hyperparameters such that the error on the training set is low, but you're not overfitting to the data. If you train the network too long or have too many hidden nodes, it can become overly specific to the training set and will fail to generalize to the validation set. That is, the loss on the validation set will start increasing as the training set loss drops.

You'll also be using a method know as Stochastic Gradient Descent (SGD) to train the network. The idea is that for each training pass, you grab a random sample of the data instead of using the whole data set. You use many more training passes than with normal gradient descent, but each pass is much faster. This ends up training the network more efficiently. You'll learn more about SGD later.

Choose the number of iterations

This is the number of batches of samples from the training data we'll use to train the network. The more iterations you use, the better the model will fit the data. However, if you use too many iterations, then the model with not generalize well to other data, this is called overfitting. You want to find a number here where the network has a low training loss, and the validation loss is at a minimum. As you start overfitting, you'll see the training loss continue to decrease while the validation loss starts to increase.

Choose the learning rate

This scales the size of weight updates. If this is too big, the weights tend to explode and the network fails to fit the data. A good choice to start at is 0.1. If the network has problems fitting the data, try reducing the learning rate. Note that the lower the learning rate, the smaller the steps are in the weight updates and the longer it takes for the neural network to converge.

Choose the number of hidden nodes

The more hidden nodes you have, the more accurate predictions the model will make. Try a few different numbers and see how it affects the performance. You can look at the losses dictionary for a metric of the network performance. If the number of hidden units is too low, then the model won't have enough space to learn and if it is too high there are too many options for the direction that the learning can take. The trick here is to find the right balance in number of hidden units you choose.

import sys

### Set the hyperparameters here ###
iterations = 350
learning_rate = 0.5
hidden_nodes = 10
output_nodes = 1

N_i = train_features.shape[1]
network = NeuralNetwork(N_i, hidden_nodes, output_nodes, learning_rate)

losses = {'train':[], 'validation':[]}
for ii in range(iterations):
    # Go through a random batch of 128 records from the training data set
    batch = np.random.choice(train_features.index, size=128)
    X, y = train_features.ix[batch].values, train_targets.ix[batch]['cnt']
                             
    network.train(X, y)
    
    # Printing out the training progress
    train_loss = MSE(network.run(train_features).T, train_targets['cnt'].values)
    val_loss = MSE(network.run(val_features).T, val_targets['cnt'].values)
    sys.stdout.write("\rProgress: {:2.1f}".format(100 * ii/float(iterations)) \
                     + "% ... Training loss: " + str(train_loss)[:5] \
                     + " ... Validation loss: " + str(val_loss)[:5])
    sys.stdout.flush()
    
    losses['train'].append(train_loss)
    losses['validation'].append(val_loss)

[-0.88048884]
[ 0.37368024  0.40075214  0.51946881  0.51614944  0.29707497  0.46844919
  0.40187357  0.63472576  0.47444562  0.28611158]
[-0.69357111]
[ 0.32217492  0.5265722   0.60159488  0.65801195  0.36669695  0.47015053
  0.40456968  0.6071132   0.60992577  0.40641794]
[-0.71874286]
[ 0.6039356   0.77394762  0.43845474  0.46570847  0.45214824  0.52029861
  0.51732557  0.65141481  0.63717514  0.56318829]
[-0.6925712]
[ 0.51555553  0.79445696  0.35803698  0.64977849  0.31466229  0.34393153
  0.3689608   0.48088639  0.65831488  0.59117764]
[-0.35935723]
[ 0.44155339  0.51810228  0.50867605  0.49174325  0.45253991  0.34876932
  0.46018517  0.54282627  0.4508799   0.5117145 ]
[-0.70554692]
[ 0.49105575  0.33279539  0.69618393  0.36527065  0.56052623  0.47500879
  0.45230559  0.42222112  0.32878629  0.4482676 ]
[-0.76260483]
[ 0.44168874  0.42117377  0.63609096  0.50766903  0.48605538  0.40254994
  0.4049026   0.39312438  0.30902026  0.47838626]
[ 0.42464958]
[ 0.4927337   0.66115806  0.385484    0.41829658  0.33070621  0.52981929
  0.43936241  0.52269967  0.65249398  0.46518121]
[-0.43036533]
[ 0.38466194  0.45627736  0.59350803  0.51112826  0.37447579  0.50886144
  0.45405121  0.49628101  0.51717773  0.37310872]
[ 0.73606616]
[ 0.51952055  0.38490422  0.66915763  0.3784712   0.51542578  0.48976134
  0.38039021  0.44226179  0.40973894  0.45044799]
[ 0.12964671]
[ 0.65005202  0.66046333  0.52908187  0.31055631  0.58341398  0.59547435
  0.4997686   0.62998655  0.41309584  0.6025142 ]
[ 0.90011402]
[ 0.4468082   0.47710969  0.56302817  0.53175925  0.46085245  0.39069046
  0.45490167  0.4413496   0.45589683  0.3406856 ]
[ 0.42340836]
[ 0.55594059  0.66921594  0.49246536  0.61916783  0.46938365  0.36040699
  0.53846069  0.63251319  0.59787466  0.5373446 ]
[ 2.55125799]
[ 0.51024994  0.60072466  0.37306083  0.31035886  0.53778115  0.32745703
  0.43574885  0.43040546  0.44175032  0.55460562]
[-0.36563975]
[ 0.50391975  0.60320034  0.55427173  0.44062784  0.4583461   0.47763077
  0.35579338  0.52812864  0.50609159  0.5386952 ]
[ 0.06905753]
[ 0.36515707  0.34229088  0.55543793  0.40922586  0.49853295  0.51213104
  0.37903343  0.54286342  0.26135054  0.37776812]
[-0.58712546]
[ 0.46109075  0.63788326  0.5302546   0.57789991  0.3056937   0.58632367
  0.36422847  0.71489543  0.64438618  0.47806205]
[-0.59172977]
[ 0.41628683  0.52225456  0.68416665  0.5041146   0.44878262  0.43358664
  0.43645601  0.50723821  0.57257814  0.51769611]
[-0.92920724]
[ 0.378223    0.3869882   0.65542573  0.49370031  0.38773886  0.42402939
  0.51855122  0.50552616  0.4640061   0.37980468]
[ 2.55820288]
[ 0.56463527  0.76260434  0.31439092  0.63490104  0.35975399  0.33300604
  0.37588244  0.45168771  0.55418616  0.55554548]
[-0.6405171]
[ 0.44363429  0.54825602  0.43836949  0.51652172  0.29771046  0.56144563
  0.42167121  0.62497162  0.37810421  0.42878179]
[ 1.35813142]
[ 0.41350705  0.70448876  0.36463     0.6316438   0.24788566  0.36726912
  0.48668606  0.61713825  0.65843574  0.38030126]
[-0.72439607]
[ 0.43386682  0.67091663  0.4859921   0.63749597  0.3846737   0.50485052
  0.43220039  0.5876837   0.53372759  0.42264551]
[ 0.19915877]
[ 0.58999472  0.6573898   0.48163007  0.52601987  0.50423943  0.42961558
  0.53794519  0.53756922  0.58294247  0.60116915]
[-0.76376488]
[ 0.40034691  0.54228123  0.52362963  0.65721345  0.32496537  0.58246417
  0.37136313  0.63059229  0.62468801  0.45724759]
[ 0.77224896]
[ 0.5246543   0.5628641   0.45427413  0.53210653  0.40490931  0.60688837
  0.51500877  0.6110633   0.5331892   0.4701048 ]
[ 4.18770286]
[ 0.54892062  0.6415017   0.35756305  0.41762168  0.50403921  0.30065272
  0.33830965  0.48562528  0.39520137  0.55657129]
[ 0.23955111]
[ 0.5191407   0.34194843  0.61375149  0.47422846  0.44503468  0.54742984
  0.40811425  0.49708156  0.4056541   0.38107791]
[-0.41231068]
[ 0.50407678  0.39338561  0.66031821  0.35685661  0.46562119  0.50044914
  0.44699418  0.45520769  0.30490601  0.57322766]
[ 1.67429518]
[ 0.52339869  0.64821572  0.41957894  0.26714175  0.50211947  0.46609052
  0.50573121  0.37007787  0.5421302   0.52287456]
[-0.23830257]
[ 0.42437273  0.64988215  0.32225185  0.63093269  0.36137763  0.28249845
  0.52550903  0.54719408  0.57117513  0.58690972]
[-0.83165127]
[ 0.38742077  0.50982052  0.49911916  0.54603514  0.40646712  0.50108199
  0.46883992  0.64941031  0.56601877  0.38902421]
[-0.75344327]
[ 0.49195098  0.4812912   0.66658379  0.45718029  0.48257065  0.47647041
  0.43226185  0.43953204  0.41462448  0.48439963]
[-0.85272045]
[ 0.42117928  0.36737244  0.73895715  0.44529998  0.37229235  0.54689768
  0.443699    0.55198685  0.40279528  0.4543482 ]
[-0.04836838]
[ 0.67157548  0.42594402  0.62426171  0.46945487  0.64399458  0.52778616
  0.4144656   0.48541843  0.40312606  0.44807269]
[ 0.24733784]
[ 0.48297874  0.38721976  0.57764032  0.48510959  0.51336519  0.5427685
  0.4921769   0.47117291  0.2608655   0.43305787]
[-0.70983785]
[ 0.55103557  0.72399845  0.38240448  0.62250425  0.44186882  0.28756951
  0.3979592   0.47761979  0.46624166  0.58988556]
[ 0.08638108]
[ 0.62469586  0.68334924  0.35232707  0.58213139  0.35530471  0.5179276
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[ 0.34499493]
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[ 1.12400328]
[ 0.43394835  0.75574827  0.36052784  0.57168727  0.42931327  0.33352431
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[ 1.42784367]
[ 0.6554184   0.67802422  0.5130257   0.45627948  0.59879224  0.43960864
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[ 0.64187358]
[ 0.61031434  0.69104861  0.35751887  0.45796199  0.43653334  0.43192665
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[ 0.45984249  0.48574006  0.45892659  0.54463269  0.46238234  0.60211336
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[ 0.7211983]
[ 0.58731498  0.51969794  0.55240028  0.21517223  0.57791003  0.60984395
  0.42987124  0.56813308  0.42223068  0.6203442 ]
Progress: 0.0% ... Training loss: 1.006 ... Validation loss: 1.465[ 0.89261175]
[ 0.60026248  0.42007694  0.62818406  0.45096827  0.42976302  0.39942536
  0.40061888  0.48730173  0.37580313  0.43123218]
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[ 0.33045143]
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[ 0.13298115]
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[ 1.55498599]
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[ 1.19150101]
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[ 0.00523614]
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[ 1.28704311]
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[ 0.34654694]
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[ 0.9577851]
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[ 0.54745511  0.46859432  0.67963778  0.27733029  0.64094771  0.62473135
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[ 0.43925721  0.69582168  0.40929951  0.58971249  0.37742352  0.35685796
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[ 0.47568765  0.36541943  0.70249079  0.45652238  0.41662624  0.46000149
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[ 0.60196118  0.57019472  0.64663934  0.32239365  0.55737936  0.5845133
  0.58382771  0.56391654  0.39188883  0.51547102]
Progress: 0.3% ... Training loss: 0.971 ... Validation loss: 1.439[ 0.2228647]
[ 0.50377798  0.47446248  0.37709653  0.37950851  0.45244421  0.47162522
  0.50524281  0.56288018  0.3675552   0.29238554]
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[ 1.00780365]
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[ 0.00058953]
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[ 2.23869207]
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[ 0.07189035]
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[ 0.36829201]
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[ 0.34681786]
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[ 0.15546848]
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[ 0.45820377]
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[ 2.75707193]
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[ 3.0615302]
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[ 0.04708323]
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[ 0.85494247]
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[ 0.34103072]
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[ 1.60162425]
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[ 0.37147921]
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[ 0.57319995]
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[ 1.14634639]
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[ 0.02706568]
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[ 0.47284452]
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[ 1.19761025]
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[ 1.78651809]
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[ 0.79806187]
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[ 1.27378722]
[ 0.50107123  0.47797115  0.41420529  0.40620594  0.43033323  0.47805688
  0.510217    0.54045758  0.35069106  0.2955911 ]
[ 1.92166997]
[ 0.59569565  0.50406023  0.46224132  0.31153618  0.50825899  0.39004671
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[ 0.44362738  0.5934441   0.56473787  0.48859294  0.57065509  0.57062293
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[ 0.6487746   0.83172777  0.47539439  0.53238181  0.35750915  0.54114283
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[ 2.97165375]
[ 0.71002065  0.70964884  0.46710528  0.41863043  0.56231515  0.44986424
  0.43300757  0.54077709  0.44385667  0.49242683]
Progress: 0.6% ... Training loss: 0.934 ... Validation loss: 1.402[ 0.10471934]
[ 0.57603921  0.59397829  0.47195783  0.64521391  0.36022125  0.58566121
  0.50946839  0.71533291  0.46293629  0.52652637]
[ 0.79795194]
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[ 0.61900027]
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[ 0.47324606]
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[ 0.57854167]
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[ 3.60024891]
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[ 0.18973617]
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[ 0.64754898]
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[ 1.03523586]
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[ 0.76667371]
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[ 0.55321835]
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[ 1.44922562]
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[ 1.57345752]
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[ 2.5268706]
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[ 0.9277832]
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[ 0.31394692]
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[ 0.74872801]
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[ 0.39003283]
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[ 0.19046381]
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[ 0.41505393]
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[ 0.97833321]
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[ 0.63297564]
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[ 1.24193227]
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[ 1.10795175]
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[ 0.32768779]
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[ 1.34072759]
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[ 0.87888985]
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[ 0.44041896  0.26028364  0.73784519  0.3099773   0.48749401  0.57926625
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[ 0.53351807  0.76074958  0.32997534  0.63256948  0.28808337  0.34463349
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[ 0.6458108   0.41515516  0.55264283  0.44980306  0.59014669  0.47931214
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[ 1.28245554]
[ 0.70372682  0.79858038  0.46763772  0.51546406  0.40926598  0.444064
  0.52149206  0.66414427  0.63435356  0.59819579]
Progress: 0.9% ... Training loss: 0.915 ... Validation loss: 1.405[-0.73234715]
[ 0.46868825  0.66921758  0.3624007   0.66557881  0.31401048  0.34603876
  0.30497075  0.470665    0.56548915  0.40175062]
[ 3.64662109]
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[ 0.09041417]
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[ 0.59489644]
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[ 0.677912]
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[ 0.16956473]
[ 0.59245269  0.74788379  0.44995016  0.50854003  0.50421956  0.44569857
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[ 1.81376531]
[ 0.42834328  0.24468633  0.57965965  0.31021092  0.65009436  0.44026436
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[ 0.90211088]
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[ 0.03566988]
[ 0.46909677  0.29727823  0.64783709  0.51729513  0.5087557   0.37846905
  0.40325239  0.53748527  0.37920636  0.60757224]
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  0.3327773   0.55796273  0.54123589  0.40301595]
[ 1.15352969]
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  0.42530206  0.55319087  0.68980598  0.38930073]
[ 1.3567039]
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[ 0.67439816]
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[ 0.65452597]
[ 0.42845024  0.60017006  0.43937181  0.60321853  0.31600114  0.33504229
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[ 0.50020012]
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[ 1.91197909]
[ 0.69388237  0.70063535  0.4716536   0.55628492  0.44402859  0.41496766
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[ 0.06767986]
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[ 0.3526069]
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[ 0.29453579]
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[ 0.44149714]
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[ 1.87110777]
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[ 0.48240181]
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[ 1.19286647]
[ 0.38734588  0.7112928   0.3598879   0.51786021  0.36725444  0.3695009
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[ 1.62444012]
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[ 0.09367363]
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[ 1.57165656]
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[ 0.39128407]
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[ 1.71075066]
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[ 0.87402177]
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[ 1.15444889]
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[ 1.05024058]
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[ 2.72101808]
[ 0.64021097  0.62507323  0.44691251  0.36607266  0.54872868  0.50935217
  0.4761684   0.47854891  0.33317081  0.53308054]
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[ 1.3564818]
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[ 0.0828776]
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[ 0.38740766]
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[ 3.15778624]
[ 0.69099764  0.61269657  0.43585011  0.54679417  0.50026455  0.43041139
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[ 0.87876952]
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  0.46941795  0.57948614  0.38702188  0.38862876]
[ 3.41223303]
[ 0.56912125  0.75548127  0.38830037  0.62978443  0.36443246  0.45403584
  0.48462873  0.69758927  0.54255585  0.37046273]
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[ 0.45658344]
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[ 0.52556728]
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[ 1.92245672]
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[ 0.37977848  0.69572266  0.54265621  0.58200365  0.31449828  0.63221176
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[ 0.07821227]
[ 0.57671168  0.40917989  0.61714359  0.39905744  0.67740344  0.33814367
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[ 0.15483643]
[ 0.48986324  0.23966483  0.63235316  0.51812699  0.52539304  0.41775097
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[ 0.46598316]
[ 0.71081177  0.70101898  0.3561532   0.48985958  0.39323205  0.23085924
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  0.41825723  0.46795577  0.53018498  0.39947624]
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[ 0.3974938   0.61909261  0.60440882  0.63119756  0.27636807  0.57310433
  0.41262879  0.6143654   0.62084515  0.52874652]
[-0.22490466]
[ 0.70874464  0.64056134  0.57941133  0.36527616  0.56350866  0.56703428
  0.46730318  0.61798648  0.51538508  0.53143583]
[-0.31126922]
[ 0.59549388  0.74161254  0.49902506  0.59441015  0.44803526  0.45843761
  0.43531123  0.64919528  0.72224667  0.4637193 ]
[ 0.01659668]
[ 0.53875462  0.5901104   0.55313347  0.30760736  0.53305251  0.60804009
  0.45169231  0.57267943  0.52028315  0.6157175 ]
[-0.30238879]
[ 0.40062685  0.66578767  0.54061461  0.60128867  0.43440314  0.61987226
  0.43255918  0.6676817   0.49003759  0.55575841]
[ 3.3386992]
[ 0.68574424  0.5668598   0.47735805  0.36559551  0.5403172   0.31585586
  0.48959669  0.51674189  0.39332505  0.3740179 ]
Progress: 1.1% ... Training loss: 0.888 ... Validation loss: 1.292[-0.41572981]
[ 0.60112385  0.6582849   0.49692748  0.48834471  0.47525846  0.43144459
  0.35776001  0.61903611  0.58542197  0.49801478]
[-0.8509764]
[ 0.48317767  0.5083462   0.50475154  0.5986942   0.37916806  0.55382718
  0.45716101  0.5364613   0.45958304  0.4479211 ]
[-0.73152368]
[ 0.50627043  0.61067439  0.54225231  0.52876132  0.45283761  0.58673741
  0.44088096  0.52370213  0.37049021  0.5897681 ]
[-0.77281195]
[ 0.37213119  0.53625021  0.59127404  0.55604103  0.5529878   0.47626574
  0.41226326  0.41791425  0.44119404  0.61362111]
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[ 0.52093575  0.56456684  0.51387287  0.50052351  0.47674402  0.54739111
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[ 0.49499034  0.22269336  0.71963535  0.36153203  0.61072745  0.55305978
  0.35868238  0.45709065  0.25908585  0.43358419]
[-0.28691666]
[ 0.67454053  0.39914631  0.60486381  0.49717887  0.55679897  0.33187456
  0.44356218  0.63693538  0.46307595  0.42466384]
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[ 0.44180499  0.59516562  0.4757366   0.49849234  0.39031364  0.34920459
  0.48053149  0.6098083   0.49281587  0.460575  ]
[-0.98699686]
[ 0.48377574  0.55700713  0.57057906  0.46538097  0.45815383  0.52874398
  0.3710202   0.56370269  0.44156212  0.54183155]
[ 2.18215427]
[ 0.67669424  0.60616449  0.47613825  0.2874992   0.49950244  0.3983457
  0.4830483   0.54214684  0.48440456  0.44510492]
[-0.43269588]
[ 0.58559427  0.18874031  0.71539347  0.39203395  0.57388044  0.46411692
  0.40417122  0.39482736  0.2721728   0.30060988]
[-0.42673868]
[ 0.83380021  0.49512212  0.59741748  0.3855605   0.53622924  0.39755735
  0.45881994  0.72301405  0.3869902   0.44563283]
[-0.99906537]
[ 0.579326    0.69305588  0.48522415  0.56196658  0.34216613  0.42846114
  0.45578474  0.58630609  0.62680112  0.47607656]
[-0.04975559]
[ 0.71494578  0.78862812  0.57706821  0.43805619  0.52272759  0.44783794
  0.57397638  0.58118256  0.70353201  0.54497897]
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[ 0.45425512  0.40366149  0.67337723  0.48877876  0.44668433  0.50343316
  0.38060063  0.45349077  0.3512894   0.44078468]
[-0.54631718]
[ 0.41703101  0.73199508  0.50815076  0.59812614  0.43453338  0.62724001
  0.41036672  0.70060605  0.68160869  0.60405204]
[-0.78493665]
[ 0.56628086  0.71373276  0.56457955  0.62650671  0.39414549  0.51050243
  0.41600322  0.61788005  0.65976409  0.52017164]
[ 0.28962343]
[ 0.60066064  0.71525279  0.49025068  0.58582724  0.43654926  0.38043122
  0.40910071  0.7462838   0.56823894  0.44206003]
[ 0.1484984]
[ 0.55167052  0.67680667  0.43145938  0.62506177  0.26583617  0.43203231
  0.44270628  0.62962437  0.57082314  0.47917464]
[-0.35146767]
[ 0.7291337   0.71932011  0.44363633  0.44548825  0.43128231  0.46255173
  0.52570496  0.66333094  0.49696721  0.61277971]
[ 1.51934821]
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[ 0.74394983  0.84691961  0.43798824  0.36558128  0.44069916  0.43609887
  0.55800689  0.61600933  0.58612992  0.66865944]
[ 2.77796559]
[ 0.72721774  0.72732564  0.487299    0.33594316  0.53273192  0.4006488
  0.52823941  0.57358342  0.55650434  0.45732631]
Progress: 1.4% ... Training loss: 0.859 ... Validation loss: 1.316[-0.75227202]
[ 0.46564003  0.54462587  0.56218068  0.44084577  0.53674793  0.56154004
  0.32954668  0.53370457  0.42141     0.63347256]
[-0.31690219]
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[ 0.77761823]
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  0.46954533  0.56483078  0.59216129  0.47041908]
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[ 2.26945973]
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[ 0.95386733]
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[ 0.90122465]
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[ 0.0884792]
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[ 0.01476661]
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[ 0.99434894]
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[ 0.16449802]
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[ 0.96130403]
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[ 1.44873185]
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[ 0.41208586]
[ 0.67293776  0.73657565  0.3717862   0.32301966  0.4419518   0.34252744
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[ 2.16403861]
[ 0.55302247  0.61622665  0.50056212  0.51332462  0.42728252  0.49545803
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[ 0.95867531]
[ 0.80052923  0.69341248  0.50629968  0.46667063  0.51525159  0.31271973
  0.58687429  0.59802327  0.53231249  0.39071727]
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[ 0.60901086]
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[ 1.71051743]
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[ 0.37151346]
[ 0.72661198  0.76542252  0.50021612  0.56468238  0.42950403  0.42126714
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[ 0.32519102  0.57736933  0.41209459  0.5760475   0.39288851  0.52091111
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[ 0.11552897]
[ 0.6080339   0.69244982  0.42904896  0.56171968  0.45827099  0.2629814
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[ 0.51476609  0.2580486   0.58890196  0.31127889  0.48365336  0.47512738
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[ 3.70503834]
[ 0.58690849  0.63917305  0.41669036  0.36347732  0.35119557  0.30381598
  0.44214051  0.61675191  0.46026341  0.40174919]
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[ 0.54132908  0.69793382  0.4332379   0.56634395  0.28640978  0.34779193
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[-0.56711347]
[ 0.45325309  0.62339751  0.53513058  0.48256004  0.49550944  0.44090068
  0.4815525   0.58000975  0.50892412  0.6938077 ]
[-0.17318197]
[ 0.3915545   0.44407633  0.62354922  0.57550075  0.49824342  0.51197385
  0.43127436  0.47924661  0.61407901  0.45864749]
[ 1.5528144]
[ 0.67431209  0.5457064   0.49842198  0.44543328  0.49630167  0.40319959
  0.46343579  0.59307417  0.31360591  0.41797513]
[ 0.99347206]
[ 0.54465722  0.38974846  0.50778735  0.39528447  0.56058518  0.49767821
  0.5817762   0.50661133  0.35965348  0.38969252]
[-0.84250269]
[ 0.52417189  0.73652328  0.34066121  0.61868438  0.23088864  0.3317353
  0.42281548  0.63638957  0.61668231  0.3710557 ]
Progress: 1.7% ... Training loss: 0.846 ... Validation loss: 1.369[ 0.15929147]
[ 0.58242737  0.75144941  0.39026975  0.4534732   0.3918776   0.36879302
  0.4924318   0.51102089  0.72136934  0.58054899]
[ 2.90983773]
[ 0.64384083  0.65316147  0.44484168  0.42067176  0.43855865  0.32910313
  0.39691156  0.65097421  0.52541405  0.56098111]
[ 0.17042796]
[ 0.55811398  0.46603494  0.5344886   0.43539217  0.54034582  0.44048047
  0.5645367   0.58202501  0.33054633  0.454872  ]
[ 1.73082748]
[ 0.58628306  0.68434065  0.46055844  0.39309414  0.44557425  0.27647597
  0.44239676  0.60759241  0.51511387  0.45157913]
[-0.74938845]
[ 0.40729256  0.65170559  0.53392099  0.54962174  0.4677406   0.51248637
  0.427726    0.41451509  0.61338765  0.51782349]
[ 1.13828023]
[ 0.55647754  0.73031692  0.40625641  0.50320413  0.38521864  0.26038528
  0.42774509  0.56364719  0.69268983  0.3808523 ]
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[ 0.64675407  0.69698583  0.40372274  0.548442    0.32938424  0.45409837
  0.33852549  0.64738462  0.52292745  0.52371868]
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  0.38235761  0.69907604  0.51166885  0.5496348 ]
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[ 0.18315488]
[ 0.500911    0.64996939  0.38238977  0.69405318  0.32501164  0.2011005
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[ 0.97668044]
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[ 0.53404884]
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[ 0.0759217]
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[ 0.72774405]
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[ 0.50139407]
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[ 0.39285746]
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[ 0.24867461]
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[ 1.3896607]
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[ 1.33985698]
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[ 0.18333189]
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[ 0.29621699]
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[ 1.74547093]
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[ 0.12994712]
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[ 0.60004663]
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[ 0.27614039]
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[ 0.27804197]
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[ 2.20901801]
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[ 1.95758567]
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[ 0.79798582]
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[ 1.26487469]
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[ 1.11083513]
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[ 3.42213892]
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[ 0.30701324]
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[ 1.05682887]
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[ 0.32636022]
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[ 2.99497454]
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[ 0.33967397]
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[ 2.29214129]
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[ 0.00883528]
[ 0.65882091  0.44917371  0.52769843  0.28689103  0.49923297  0.24690125
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[ 0.60794614  0.70935937  0.45150324  0.49695549  0.32154789  0.3625399
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[ 0.39313057  0.37586766  0.65072097  0.39674268  0.5508281   0.52344934
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[ 0.46459472  0.24956291  0.64241221  0.4008773   0.53143195  0.50968307
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[ 1.4058364]
[ 0.70990511  0.53585525  0.57741061  0.52428405  0.49122759  0.32862971
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[ 0.68298815  0.7370838   0.49516739  0.50910551  0.5017972   0.47497233
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[ 0.36799134  0.54139979  0.41080428  0.61235579  0.33656917  0.68225627
  0.35398851  0.71348147  0.56469605  0.39964344]
[ 2.18355097]
[ 0.72394168  0.44214558  0.54022981  0.36802271  0.5880066   0.34918378
  0.48076122  0.55250028  0.27924169  0.46561555]
[ 0.36573342]
[ 0.70064148  0.61518675  0.41965828  0.40759416  0.47594673  0.21427204
  0.36218995  0.54954045  0.46677173  0.45415304]
[ 0.1648052]
[ 0.47577152  0.32209744  0.61051359  0.28965909  0.57682504  0.59218206
  0.48492209  0.59966603  0.37681194  0.41461533]
[ 1.0390241]
[ 0.54332226  0.614048    0.43669901  0.58039789  0.31990467  0.29822652
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[ 0.55906334  0.5156449   0.47495853  0.59435868  0.52139766  0.45965364
  0.42419741  0.56152297  0.38297343  0.44721858]
[ 0.4019805]
[ 0.36492705  0.77098142  0.38690968  0.67265677  0.34214786  0.58690826
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[ 0.3502444   0.39003172  0.60004972  0.65824587  0.35090859  0.52690272
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[ 0.50925068  0.74394033  0.38722935  0.65464693  0.33148386  0.5468354
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[ 0.54835079  0.63056777  0.43947361  0.61201259  0.28758182  0.3399711
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[ 0.203365]
[ 0.4089609   0.49208316  0.61400159  0.60234221  0.44042896  0.51161229
  0.33604722  0.48663797  0.51207933  0.44524072]
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[ 0.4952257   0.68513463  0.45225629  0.56199048  0.34817229  0.38020926
  0.45160116  0.5117694   0.59431721  0.56046902]
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[ 0.49361534  0.4815211   0.4826184   0.62243703  0.41928094  0.61619621
  0.49984729  0.58040778  0.45432161  0.49810165]
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[ 0.54751708  0.63374742  0.5692676   0.39903693  0.46728429  0.50649959
  0.56627197  0.48483421  0.61914036  0.46595918]
[ 1.73067679]
[ 0.59273889  0.62677673  0.44504708  0.51445696  0.43573996  0.47147839
  0.51169552  0.62157862  0.48778221  0.45058757]
[ 0.12557966]
[ 0.53511925  0.58002621  0.49950903  0.4722144   0.35601817  0.34023275
  0.52503878  0.55008453  0.48649113  0.43879168]
[ 0.21527619]
[ 0.53678631  0.53588524  0.56539067  0.59212423  0.50737048  0.42336008
  0.43928274  0.58291429  0.42977689  0.51470757]
[-0.46110218]
[ 0.3158219   0.72494095  0.47269548  0.65000064  0.36628386  0.58351745
  0.41150358  0.45381503  0.65073557  0.57650998]
[ 0.3498651]
[ 0.60509393  0.64828837  0.456363    0.53989666  0.47211419  0.41413356
  0.46593974  0.53187401  0.59855163  0.49411389]
[ 0.08852213]
[ 0.41963036  0.44420713  0.48568871  0.58916953  0.51743353  0.68350862
  0.45871741  0.51288856  0.3908862   0.5095743 ]
[-0.07183761]
[ 0.47204578  0.27030728  0.61024264  0.43906802  0.56591177  0.32153663
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[-0.83380729]
[ 0.47606784  0.63731314  0.40728321  0.62053697  0.32308016  0.36635347
  0.46653     0.56851086  0.55581383  0.35431579]
[-0.40219561]
[ 0.68522995  0.77637263  0.42737146  0.40788452  0.38596022  0.26537865
  0.47262256  0.57668952  0.59609196  0.45977139]
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[ 0.43273651  0.27265079  0.67988153  0.32251096  0.57934385  0.59793577
  0.4346419   0.42883041  0.27695605  0.48786062]
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[ 0.3128358   0.51513008  0.54822166  0.4801314   0.49707919  0.63549213
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[ 3.37263324]
[ 0.67872771  0.77513163  0.44049325  0.46627579  0.39581155  0.40020298
  0.40367252  0.715924    0.60884277  0.49654406]
[ 0.13869233]
[ 0.42256881  0.48447897  0.56464923  0.41007954  0.53264254  0.45825285
  0.42003532  0.39182906  0.43684995  0.49657893]
[ 0.3548557]
[ 0.72498586  0.49900538  0.47663982  0.46509242  0.35132303  0.22040355
  0.42137875  0.58619235  0.40731711  0.3289731 ]
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[ 0.41839039  0.45644818  0.42769049  0.63348282  0.44464975  0.32407478
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[ 0.58662235  0.78864313  0.32493204  0.58706053  0.35840112  0.39756575
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[ 0.53020204  0.69912832  0.46891437  0.69436635  0.33351125  0.4393207
  0.43727164  0.50452915  0.63485001  0.45097633]
[ 0.07597034]
[ 0.51707197  0.39935149  0.58164942  0.43926864  0.5118183   0.41067479
  0.46019488  0.58866189  0.35154788  0.44928927]
[ 1.28037526]
[ 0.519858    0.46591256  0.54276204  0.37793475  0.54552754  0.62748963
  0.3980279   0.57989357  0.50105146  0.49427161]
[ 0.69802186]
[ 0.58713547  0.74698336  0.4246467   0.43916006  0.47049683  0.52358447
  0.57148099  0.60978513  0.61029216  0.48107662]
[-0.73356141]
[ 0.36984302  0.3900285   0.62328951  0.41131494  0.46431453  0.52426005
  0.45873787  0.41623967  0.45042376  0.44661815]
[-0.59445488]
[ 0.36226967  0.57911364  0.56897358  0.5121728   0.42674129  0.55365779
  0.41814042  0.40894965  0.51075812  0.5546574 ]
[-0.18434214]
[ 0.64691795  0.47599947  0.50330865  0.36009756  0.51457318  0.45891053
  0.50200518  0.70818637  0.45543592  0.60779863]
[-0.24715996]
[ 0.47487939  0.12182564  0.72398958  0.35544044  0.60877089  0.3522032
  0.50279881  0.45365771  0.14658624  0.27759682]
[ 1.46919939]
[ 0.46498258  0.3649414   0.51820687  0.46789355  0.43454418  0.64101101
  0.42358316  0.72469196  0.44299336  0.3535259 ]
Progress: 2.0% ... Training loss: 0.828 ... Validation loss: 1.271[-1.01862561]
[ 0.57976188  0.73600492  0.46001848  0.56127841  0.4526577   0.5104403
  0.42658374  0.68115006  0.55463956  0.53747833]
[-0.39218992]
[ 0.49486793  0.70130236  0.49155421  0.58434723  0.25757053  0.53018773
  0.4040448   0.67387186  0.51220515  0.50739342]
[-0.83502786]
[ 0.50241973  0.73841977  0.37752529  0.72910259  0.26740705  0.31998412
  0.40718417  0.59242757  0.55442801  0.69163316]
[-0.33748227]
[ 0.48469875  0.59359836  0.50394314  0.53864315  0.3885016   0.51096043
  0.41157881  0.57925207  0.41517204  0.40216353]
[ 1.20803577]
[ 0.47705987  0.52062463  0.46403003  0.41545053  0.52296551  0.41615941
  0.58825656  0.54020455  0.43905575  0.4164132 ]
[-1.05097364]
[ 0.48654117  0.68038322  0.43872938  0.58819657  0.39017115  0.3335222
  0.36916988  0.52274885  0.61772368  0.4077821 ]
[ 1.07736348]
[ 0.58210229  0.49927794  0.49803764  0.42710703  0.42920103  0.20243592
  0.33141368  0.59722847  0.34082206  0.31733232]
[ 1.44844592]
[ 0.6961425   0.60111063  0.46717978  0.39888014  0.42551377  0.19474008
  0.36521639  0.55694146  0.42941999  0.39051242]
[-0.62529032]
[ 0.40996923  0.76740828  0.3721387   0.74985295  0.28720407  0.5194529
  0.47168936  0.71670156  0.61276853  0.7122723 ]
[-0.82085305]
[ 0.36240122  0.38959488  0.63474028  0.50232862  0.41399592  0.58523465
  0.43794972  0.56278295  0.42640269  0.49151008]
[-0.37183264]
[ 0.3531945   0.45513474  0.51822572  0.41331259  0.45412226  0.51734869
  0.49000032  0.56615054  0.39164756  0.42184066]
[ 0.05134645]
[ 0.37013756  0.33970464  0.61505265  0.58547277  0.39025754  0.4826723
  0.37230331  0.4082097   0.4215428   0.39952607]
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[ 0.46013097  0.50749099  0.39015558  0.47300079  0.38050209  0.35859011
  0.39447107  0.52139819  0.45273404  0.34998599]
[-0.36271546]
[ 0.47904821  0.59054322  0.37821162  0.46321027  0.34857189  0.36618714
  0.38165035  0.49244349  0.50097151  0.3719763 ]
[ 0.10294492]
[ 0.50028379  0.53858449  0.62370479  0.46147728  0.47466929  0.510838
  0.44888462  0.60850214  0.58563448  0.54496522]
[-0.64097001]
[ 0.34192581  0.63488496  0.45034489  0.67623872  0.40143891  0.6390412
  0.45741743  0.52291389  0.49582019  0.5678564 ]
[-0.69783446]
[ 0.41763088  0.60002131  0.5176578   0.49770039  0.33513615  0.66473304
  0.41845753  0.54257403  0.50792416  0.56915704]
[-0.71411385]
[ 0.50953113  0.77693415  0.38718951  0.71947773  0.35453122  0.61391943
  0.36009107  0.64424524  0.56025711  0.65032664]
[ 0.56073863]
[ 0.56081723  0.72824715  0.4524111   0.51659494  0.39814642  0.34766885
  0.41194385  0.57132617  0.5325126   0.47167645]
[-0.59120852]
[ 0.58401822  0.46225019  0.64302434  0.27836214  0.55408385  0.54275285
  0.43674582  0.55167651  0.4585119   0.54972764]
[-0.49919477]
[ 0.3641225   0.75013027  0.42952747  0.63046517  0.39228719  0.65810137
  0.3686738   0.6001731   0.52028696  0.61580211]
[ 2.01103311]
[ 0.63036389  0.72123024  0.41092389  0.39275938  0.33230263  0.26540541
  0.44909642  0.63490924  0.50093467  0.5649716 ]
[-0.0114141]
[ 0.67118231  0.54828746  0.54893465  0.39181895  0.47540026  0.44507327
  0.50724323  0.59879825  0.45615867  0.39173951]
[-1.00074261]
[ 0.43874784  0.72726818  0.39464126  0.65334488  0.22462002  0.43921554
  0.41434987  0.58532961  0.58754687  0.46314934]
[-1.12102692]
[ 0.60090379  0.72704123  0.45747738  0.45884245  0.31009229  0.38820157
  0.4665227   0.53987295  0.63318904  0.4992131 ]
[-1.0412061]
[ 0.63821192  0.65291659  0.53018619  0.63391337  0.47259161  0.50519277
  0.39578032  0.65921227  0.46666566  0.52684212]
[ 0.45885799]
[ 0.69377165  0.57338993  0.4484556   0.45853025  0.3487995   0.29748598
  0.40605615  0.54367184  0.52566061  0.33013479]
[-1.02801087]
[ 0.52950963  0.72909452  0.39450347  0.60105927  0.30998583  0.43142171
  0.36610638  0.61398024  0.57827208  0.53445333]
[ 0.47545997]
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  0.49465235  0.61857297  0.48991804  0.46400193]
[-0.75434003]
[ 0.58936942  0.58711483  0.55956563  0.52723997  0.46508441  0.49819975
  0.49668036  0.60498359  0.36378277  0.60811021]
[ 0.49363349]
[ 0.71077307  0.50265203  0.54199517  0.28565504  0.53381443  0.26244569
  0.51659597  0.4739985   0.47106642  0.34684514]
[-0.28590439]
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[ 0.0319474]
[ 0.69316361  0.73700731  0.50280454  0.37202392  0.4742907   0.35879621
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[ 1.987433]
[ 0.47165368  0.70403509  0.42953747  0.58484432  0.38941365  0.43540829
  0.32177054  0.52291862  0.63555672  0.4980912 ]
[ 0.31995874]
[ 0.63591686  0.40033872  0.62197288  0.32771899  0.55790111  0.39196318
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[ 0.37634965  0.68929954  0.47599982  0.6709338   0.44881699  0.5351019
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[ 0.63520173  0.71946588  0.55247598  0.69978493  0.42162108  0.44614656
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[-0.32135]
[ 0.33005987  0.65952627  0.46754842  0.6748325   0.35750126  0.50668809
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[-0.75981512]
[ 0.31078072  0.45342475  0.54303872  0.62563985  0.45096653  0.54578247
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[-0.59437819]
[ 0.56979137  0.28593744  0.71057437  0.40076483  0.54086951  0.42850246
  0.41438426  0.4902094   0.38762123  0.34984295]
[ 2.12111706]
[ 0.62493268  0.68686649  0.40158855  0.44517327  0.37299682  0.25306602
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[-0.66216512]
[ 0.66848614  0.75970649  0.43219211  0.64727557  0.40326001  0.46602505
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[-0.82936763]
[ 0.576168    0.76208161  0.5187448   0.54018823  0.4216842   0.48972549
  0.43971289  0.56368523  0.52333242  0.52565688]
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[ 0.35083111  0.56002571  0.45256296  0.60085533  0.39152523  0.53553673
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[ 0.44918522  0.6671077   0.40742271  0.67828518  0.35282007  0.56704783
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[ 0.10759256]
[ 0.6587228   0.61256972  0.41475165  0.49887957  0.49508703  0.31935591
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[-1.15132046]
[ 0.63821727  0.60205225  0.52661917  0.40217267  0.46550418  0.49836689
  0.5390992   0.60368874  0.59962657  0.38963725]
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[ 0.43671894  0.55023575  0.5579526   0.47277956  0.3719579   0.49127976
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[ 0.39186161]
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  0.36705569  0.51868721  0.39308321  0.47597459]
[ 0.23305163]
[ 0.67974375  0.8035274   0.37007501  0.4775388   0.36537353  0.49561204
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[ 0.35323384]
[ 0.4340424   0.45483452  0.6093487   0.60600702  0.36520337  0.55986177
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[ 0.90484433]
[ 0.68642961  0.58422297  0.50490008  0.50792145  0.4941657   0.29219126
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[ 0.67763216]
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[ 0.97398748]
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[ 1.19104299]
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[ 1.53361396]
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[ 0.79358811]
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[ 1.85187505]
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[ 1.93106064]
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[ 1.88138679]
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[ 0.59449447]
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[ 4.02963764]
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[ 0.82486821]
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[ 0.08976004]
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[ 2.41050584]
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[ 1.65629541]
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[ 0.67814359]
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[ 1.48142992]
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[ 0.09350567]
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[ 0.11706799]
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[ 0.09658101]
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[ 0.00253746]
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[ 0.04923719]
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[ 0.04598367]
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[-0.78440874]
[ 0.43350379  0.66243512  0.39355893  0.67962726  0.44650454  0.46774569
  0.42533842  0.42050695  0.46043487  0.49283974]
[ 0.7057705]
[ 0.62073547  0.57583626  0.55889962  0.44165461  0.53666729  0.44702717
  0.50585016  0.57786968  0.48264351  0.48425868]
[ 0.4945793]
[ 0.4168328   0.61579798  0.45180262  0.50563098  0.31981578  0.36942066
  0.44135959  0.53191956  0.4784277   0.41339895]
[-0.88171293]
[ 0.33751514  0.41720026  0.64995063  0.50390299  0.41471988  0.59567933
  0.43247015  0.47969144  0.49331223  0.46298101]
Progress: 2.3% ... Training loss: 0.805 ... Validation loss: 1.308[-0.21535684]
[ 0.34973514  0.72606845  0.39688596  0.64651658  0.31764664  0.63224533
  0.49735143  0.6138949   0.62513529  0.46347185]
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[ 0.68293741]
[ 0.34178966  0.6052154   0.47506164  0.4418381   0.46784181  0.51531885
  0.51384371  0.58601654  0.47566874  0.45444279]
[ 0.07020177]
[ 0.36710863  0.39933353  0.59907324  0.38614077  0.46153553  0.51181906
  0.46222568  0.43270001  0.44293657  0.55322807]
[ 0.30813741]
[ 0.62914081  0.6566945   0.48764157  0.5175396   0.37652653  0.30861585
  0.38095255  0.52687425  0.57507812  0.42137969]
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[ 0.45289727  0.64417022  0.48321934  0.6360306   0.4986135   0.41611019
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[ 0.0161285]
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[-0.91933269]
[ 0.44389365  0.745716    0.39929346  0.62322111  0.30762634  0.3813061
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[ 1.97868751]
[ 0.60360839  0.51241203  0.55481757  0.36974446  0.46279088  0.43202438
  0.41446     0.57194624  0.36571816  0.44173365]
[ 0.71400736]
[ 0.52190939  0.42702419  0.57844435  0.40698444  0.49490267  0.49592029
  0.41712458  0.50756258  0.38665044  0.42391283]
[-0.20498555]
[ 0.35990168  0.54030171  0.41611906  0.58995468  0.43828689  0.53968062
  0.39683771  0.37831416  0.50950955  0.40536231]
[-0.38070341]
[ 0.31973576  0.48882103  0.58740002  0.56828905  0.46152337  0.52556199
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  0.41915255  0.75268941  0.56694877  0.45663656]
[-0.42587908]
[ 0.56262101  0.6831703   0.46926205  0.3893783   0.52293405  0.38460454
  0.41619982  0.60555722  0.56075821  0.54845067]
[-0.92046177]
[ 0.55609862  0.66212507  0.450635    0.52032658  0.35170287  0.31198591
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[ 1.20929855]
[ 0.60438258  0.60191353  0.4445496   0.65715589  0.37601113  0.35380641
  0.48668846  0.63978805  0.47961318  0.32075288]
[ 1.32620492]
[ 0.66232956  0.71905191  0.47600268  0.38621308  0.42999206  0.40550915
  0.55052182  0.67253681  0.51881838  0.50660858]
[ 1.59468328]
[ 0.68152646  0.57581575  0.45763614  0.36416539  0.39955788  0.21845928
  0.39610859  0.58531466  0.38602798  0.31609483]
[ 3.05591868]
[ 0.76519997  0.5602576   0.50427058  0.28578101  0.51247452  0.23633714
  0.56976667  0.6222723   0.46726435  0.37315177]
[-0.30238338]
[ 0.34029571  0.56347611  0.4446975   0.60418872  0.39979423  0.55353976
  0.42941339  0.53996928  0.4741512   0.58294119]
[ 1.53897317]
[ 0.50002998  0.63227464  0.40165487  0.59932359  0.38290194  0.2851423
  0.39251475  0.52440897  0.52715595  0.31026513]
[-0.65703718]
[ 0.386472    0.66978766  0.42941021  0.58097723  0.37395334  0.60069481
  0.36811642  0.54333898  0.56308441  0.47522609]
[ 1.4033044]
[ 0.64002984  0.49996204  0.50974594  0.39588464  0.44857398  0.44256099
  0.4981661   0.64835138  0.42751059  0.31301306]
[ 0.87646596]
[ 0.6384998   0.63857918  0.44058192  0.47649569  0.32118684  0.25109027
  0.43359506  0.65457045  0.47146301  0.41549346]
[-0.16907914]
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[ 0.23118232]
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[ 2.03663771]
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[ 0.0161285]
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[ 1.302056]
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[ 0.62214938]
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[ 0.42299415]
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[ 0.09713553]
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[ 0.37737489  0.44388228  0.57438653  0.47084525  0.53083519  0.46333568
  0.35037063  0.39394458  0.35475509  0.49254771]
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[ 0.55291138  0.36001953  0.69631029  0.37326863  0.58502548  0.43678188
  0.43467587  0.53050026  0.41588474  0.48893476]
[-0.61004945]
[ 0.31351987  0.42969987  0.6940857   0.46290152  0.51083023  0.70060837
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[ 0.17057137]
[ 0.56771185  0.70164272  0.46095367  0.4212006   0.39997624  0.47842375
  0.50671153  0.61809033  0.42901486  0.56887749]
Progress: 2.6% ... Training loss: 0.791 ... Validation loss: 1.312[ 0.07485277]
[ 0.42707281  0.61945771  0.4387891   0.57023108  0.43628398  0.47908766
  0.42628867  0.62711541  0.44506807  0.43092237]
[ 2.19598785]
[ 0.51034732  0.65025984  0.47424375  0.53750293  0.34617422  0.61879084
  0.47101919  0.75420724  0.46122782  0.46207465]
[ 1.04586333]
[ 0.50524977  0.68663318  0.40465665  0.63181541  0.32327961  0.30598059
  0.32942906  0.42295113  0.65938128  0.3439685 ]
[-0.77699117]
[ 0.52407473  0.68597284  0.57763937  0.62687356  0.42670153  0.60091389
  0.49151994  0.56957204  0.5805198   0.53776775]
[ 1.45674193]
[ 0.70229824  0.64245055  0.54550042  0.45176178  0.45787231  0.43160687
  0.44010665  0.55629001  0.54354561  0.425308  ]
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[ 0.41527693]
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[ 1.29034522]
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[ 0.31243413  0.54342718  0.49250243  0.44777642  0.45546827  0.69507218
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[ 0.80225452]
[ 0.53957913  0.67985738  0.36767367  0.53834854  0.33923432  0.19819766
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[ 0.6555516   0.50204446  0.55672256  0.49575952  0.54389451  0.46192421
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[ 0.69296605  0.78970098  0.51111285  0.43401714  0.38425314  0.50684888
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[ 0.44788508  0.57461797  0.47194825  0.52147875  0.39268279  0.30340309
  0.40827826  0.52595227  0.49304456  0.31604344]
Progress: 2.9% ... Training loss: 0.776 ... Validation loss: 1.207[-0.17112972]
[ 0.56594955  0.56082817  0.5389964   0.29805731  0.52993064  0.55330663
  0.47791675  0.66141417  0.52201741  0.5600582 ]
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[ 0.17240258]
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[ 0.70108702  0.63151963  0.57004337  0.63869883  0.40150677  0.37555927
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[ 0.84929257]
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[ 0.00299927]
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[ 0.43765936]
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[ 3.1230881]
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[ 0.94814101]
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[ 0.15840045]
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[ 0.70306155]
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[ 0.74920222]
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[ 0.58705125]
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[ 1.62826938]
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[ 0.31095378]
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[ 1.40226977]
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[ 2.20462004]
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[ 0.0321056]
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[ 0.35143734]
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[ 0.19041854]
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[ 0.5692966]
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[ 0.55532742]
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[ 0.12885465]
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[ 0.33329896]
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[ 0.9123421]
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[ 0.13971007]
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[ 0.06358309]
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[ 0.24479558]
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[ 2.49605702]
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[ 0.51054274]
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[ 0.74939785]
[ 0.66431833  0.63513802  0.46646229  0.5450656   0.34963398  0.20881778
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[ 0.01232943]
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[ 0.5615094]
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[ 1.79421013]
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[ 1.81929892]
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[ 0.08626982]
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[ 0.55567187]
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[ 2.43025163]
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[ 2.16586503]
[ 0.70324139  0.65320791  0.51786765  0.29192239  0.4244983   0.31914884
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[ 0.63567769  0.63471003  0.49875779  0.53939965  0.27837486  0.36609987
  0.395717    0.56243017  0.47207827  0.43540876]
[ 1.16808087]
[ 0.85242019  0.70469605  0.553391    0.26841999  0.44461933  0.28227339
  0.62396572  0.72411822  0.5963856   0.36296502]
[-0.55732291]
[ 0.26389452  0.65733323  0.53374505  0.72193633  0.37113516  0.67181032
  0.35068026  0.36559252  0.49911169  0.6575442 ]
[ 0.3901014]
[ 0.77699791  0.66586815  0.5381421   0.37746335  0.465129    0.34666021
  0.46125579  0.6741724   0.46134801  0.3970281 ]
[-1.02567136]
[ 0.60546448  0.78096001  0.37767501  0.68772273  0.4778943   0.51968569
  0.42687804  0.6703614   0.55880951  0.48406042]
Progress: 3.1% ... Training loss: 0.752 ... Validation loss: 1.214[-0.71274858]
[ 0.39073039  0.49833714  0.45738836  0.54683464  0.42771139  0.42062277
  0.48304202  0.56869986  0.43669313  0.41185511]
[ 1.11206767]
[ 0.7516247   0.45711797  0.57841331  0.3533585   0.47832436  0.15141683
  0.52244013  0.58760115  0.38334904  0.39269002]
[ 0.30044121]
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  0.3570721   0.59842006  0.57525061  0.46128156]
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[ 0.42328022  0.658456    0.52788526  0.479459    0.42315604  0.61208835
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[ 0.98173725]
[ 0.58206796  0.38289773  0.60536442  0.31177184  0.44357925  0.43474247
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[ 1.37035155]
[ 0.72886549  0.59126015  0.54433432  0.36107968  0.36174498  0.19897359
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[ 0.40939893  0.66827915  0.37894229  0.6867054   0.46376056  0.50572627
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[ 3.07120876]
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[ 0.00081542]
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[ 0.30623095]
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[ 0.40255292]
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[ 0.12086236]
[ 0.61913825  0.76275516  0.39249179  0.58088358  0.36542546  0.49130129
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[ 0.21846993]
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[ 0.67115669]
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[ 0.09656286]
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[ 0.26388646]
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[ 0.3909511]
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[ 0.06602654]
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[ 2.39606132]
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[ 0.08487002]
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[ 1.36167212]
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[ 0.47136598]
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[ 0.97864791]
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[ 0.98865654]
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[ 0.17193417]
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[ 0.28710423]
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[ 1.4927471]
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[ 2.31025018]
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[ 0.10282887]
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[ 2.75905403]
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[ 0.1521037]
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[ 2.38961904]
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[ 0.575188    0.53826062  0.47974338  0.65356042  0.46014041  0.48703674
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[ 0.25432893]
[ 0.53945229  0.62718734  0.56736032  0.53412683  0.48460815  0.48585691
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[ 0.62825892  0.73860756  0.39763379  0.62577677  0.46217313  0.43461892
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[ 0.34788706  0.41188281  0.61078889  0.39487076  0.56926678  0.48747561
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[ 0.36339297  0.39714746  0.61326935  0.44394828  0.62006072  0.70326263
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[-0.73492879]
[ 0.42143279  0.6524229   0.40876938  0.65923855  0.38174372  0.71882201
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[-0.35509522]
[ 0.49781736  0.41434081  0.57405452  0.47167654  0.5425199   0.45080934
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[ 0.12367865]
[ 0.4680933   0.50051913  0.606063    0.44812545  0.55796026  0.44023221
  0.33846627  0.37352077  0.43051515  0.4639455 ]
Progress: 3.4% ... Training loss: 0.774 ... Validation loss: 1.413[ 0.49757124]
[ 0.56901822  0.60967126  0.48881124  0.50505706  0.42464482  0.55037339
  0.51327722  0.61141039  0.4642837   0.53640217]
[ 0.69537956]
[ 0.60510966  0.38086948  0.64151292  0.29314823  0.49925618  0.43457936
  0.44640574  0.56812399  0.32705879  0.44798984]
[ 2.91243358]
[ 0.48192943  0.76949399  0.33900404  0.63511588  0.33146633  0.28854181
  0.40372592  0.57720604  0.57391164  0.52447025]
[ 2.5214561]
[ 0.6399581   0.67365315  0.46932574  0.38189659  0.41005446  0.3513438
  0.42276804  0.6726099   0.59366928  0.46204527]
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  0.44704139  0.50816497  0.3864785   0.56251679]
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[ 0.50954988  0.7936847   0.34718033  0.65631408  0.3102711   0.29681975
  0.31623529  0.62344733  0.61176724  0.5630982 ]
[ 0.9444212]
[ 0.47494177  0.33857572  0.51091549  0.48915109  0.42184507  0.21920241
  0.38583175  0.58429912  0.33738992  0.22206511]
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  0.39615424  0.59700964  0.53992713  0.42406612]
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[ 0.80792673  0.63151382  0.5294133   0.32942694  0.34306705  0.28561952
  0.51000648  0.74236926  0.56625478  0.43856961]
[ 1.55208936]
[ 0.75584601  0.50585925  0.54434862  0.30519993  0.5176988   0.40678543
  0.52653863  0.65922791  0.38250294  0.39309644]
[ 0.22261789]
[ 0.67349985  0.67853507  0.43756692  0.55360484  0.31120258  0.16278729
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[ 0.00467255]
[ 0.32452535  0.43338263  0.56290363  0.67565145  0.47824437  0.58476317
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[ 1.32961049]
[ 0.66639851  0.72225752  0.52915227  0.48719515  0.45157246  0.4543974
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  0.48129746  0.66171025  0.66181434  0.57205637]
[ 0.35495893]
[ 0.66487017  0.77021572  0.38732934  0.48465324  0.24822237  0.25212178
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[ 0.89791168]
[ 0.66429811  0.63452164  0.59472721  0.44046165  0.48398449  0.40625584
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[ 0.73802787]
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  0.40252453  0.57956589  0.414716    0.39309813]
[ 0.0103203]
[ 0.49736122  0.64259628  0.48027733  0.64510072  0.45080429  0.55171384
  0.54199055  0.57089159  0.49780097  0.55906555]
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[ 1.13039222]
[ 0.46231995  0.70642807  0.44252467  0.56473418  0.38658458  0.498783
  0.49975267  0.62632808  0.52785675  0.57111406]
[ 1.27347062]
[ 0.72576296  0.61422939  0.56584682  0.42630002  0.48240504  0.4340583
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  0.41122112  0.46861605  0.36287721  0.53170606]
[ 0.47194542]
[ 0.50753033  0.69933986  0.40480191  0.6721337   0.44058781  0.58557656
  0.48715653  0.61322807  0.56738462  0.50672465]
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[ 0.90230677]
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[ 0.89511152]
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  0.4203729   0.5727273   0.59504116  0.47350716]
[ 1.65155159]
[ 0.54230461  0.57642954  0.44450519  0.50952508  0.42302432  0.25335587
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[ 0.3967643]
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[ 2.53114455]
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[ 2.26738472]
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[ 0.51257728]
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[ 0.2917885]
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[ 0.00914311]
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[ 0.66403958]
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[-0.34933165]
[ 0.33567979  0.57771152  0.49675559  0.5302512   0.37791083  0.65612301
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[-0.67790725]
[ 0.61858636  0.75504435  0.37519856  0.67530454  0.2480688   0.26674228
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[ 1.84744466]
[ 0.67545461  0.57265019  0.52745609  0.37282196  0.446919    0.30673303
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[ 0.28252273]
[ 0.61125752  0.31084349  0.64554878  0.34826923  0.47226759  0.42875159
  0.40537899  0.53932327  0.35880074  0.31468512]
Progress: 3.7% ... Training loss: 0.732 ... Validation loss: 1.175[-0.43485796]
[ 0.72557653  0.67777973  0.55863361  0.51304896  0.43840214  0.35061696
  0.40173419  0.65647327  0.54032713  0.39977879]
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[ 0.3082651]
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[ 0.18545927]
[ 0.51494607  0.72137974  0.43588456  0.60610183  0.29367723  0.33995037
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[ 0.44120981]
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[ 1.41903382]
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  0.3858294   0.63707565  0.55601713  0.50928721]
[ 0.89261607]
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  0.49194653  0.60391255  0.48060545  0.41968551]
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[ 0.5952206   0.6858383   0.4633006   0.43295606  0.29906707  0.35249704
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[ 0.2760185]
[ 0.53401329  0.54273648  0.46247008  0.51214403  0.34745133  0.27040038
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[-0.54520315]
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[ 1.20580595]
[ 0.50355765  0.74069549  0.37332681  0.68925835  0.25174029  0.32870398
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[ 1.03114204]
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  0.46515665  0.61522838  0.5793452   0.29232045]
[ 0.32865549]
[ 0.69700235  0.48590166  0.59380049  0.24239028  0.42692558  0.34683899
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[ 0.15421931]
[ 0.57429406  0.60015595  0.58146395  0.62685085  0.41806095  0.47094535
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[ 0.44731016  0.68313563  0.42473273  0.57245151  0.34564183  0.35612392
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[ 0.34051251  0.62914391  0.55549664  0.6005721   0.46299194  0.68236209
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[ 0.50056447  0.6532837   0.42023099  0.67459222  0.25018868  0.33989579
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[ 0.48057825  0.55882036  0.53960485  0.44809089  0.45643641  0.51702294
  0.39700243  0.59997691  0.50136563  0.51622159]
Progress: 4.0% ... Training loss: 0.748 ... Validation loss: 1.384[-1.00938371]
[ 0.71241787  0.51037741  0.59658812  0.36546259  0.62612168  0.36010565
  0.41702662  0.67459881  0.37410948  0.42051624]
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[ 0.42014046]
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[ 1.60473821]
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[ 0.1283945]
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  0.42896268  0.57225704  0.48476202  0.3349108 ]
[ 1.39729478]
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[ 0.00374968]
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[ 0.77409287]
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[ 0.33913219]
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[ 0.31061604]
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[ 1.39285864]
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[ 0.71167996]
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[ 0.01202069]
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[ 1.1908949]
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[ 3.3593456]
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[ 0.98753898]
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[ 0.44367542]
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[ 2.46362459]
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[ 1.61860455]
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[ 1.07345787]
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[ 0.06853028]
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[ 0.55113405]
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[ 1.51551463]
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[ 1.46944522]
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[ 0.31871991]
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[ 0.65037229]
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[ 0.75323626]
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[ 0.45122322]
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[ 0.18380399]
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[ 0.40708313]
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[ 0.47713823]
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[ 0.16482144]
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[ 1.49445248]
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[ 1.5104459]
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[ 0.46317787]
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[ 0.87598998]
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[ 0.61032929  0.68287241  0.54747356  0.57291805  0.49704492  0.36756691
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[ 0.3851213]
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[ 0.27660975]
[ 0.69640419  0.62292768  0.45630211  0.40824838  0.4001679   0.29565342
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[-0.32854245]
[ 0.59580027  0.41528501  0.64897111  0.24589632  0.48720119  0.37366705
  0.46836869  0.487068    0.3683091   0.42440643]
[ 1.23508862]
[ 0.52362035  0.46359101  0.57086129  0.20470138  0.54864024  0.56985095
  0.48502408  0.65202968  0.46824821  0.47999491]
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[ 0.31343623  0.74480328  0.43511381  0.67485146  0.41002313  0.69120417
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[ 0.36596817]
[ 0.67384318  0.38804158  0.64805581  0.31278255  0.5259894   0.33516583
  0.45613151  0.62285234  0.37707092  0.48084239]
Progress: 4.3% ... Training loss: 0.712 ... Validation loss: 1.273[ 2.21981603]
[ 0.60370499  0.70348879  0.45431515  0.60994114  0.25872854  0.2864107
  0.32282584  0.58135457  0.66204561  0.3925946 ]
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[ 0.3375757   0.35533694  0.56043064  0.46958392  0.55756145  0.46945211
  0.5572578   0.39275008  0.43824634  0.61915233]
[-1.22610671]
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  0.50176933  0.49808511  0.44087151  0.35205214]
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[ 0.30561869  0.44595725  0.52275009  0.58242216  0.45618124  0.60265235
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[ 2.50684299]
[ 0.42588222  0.75518266  0.36408157  0.6893269   0.41310854  0.47241297
  0.36950238  0.58402251  0.64723965  0.62913614]
[ 0.09707141]
[ 0.50000625  0.37248165  0.62272662  0.37603281  0.48389736  0.43462656
  0.41283659  0.45171442  0.37967353  0.37799734]
[ 1.02548219]
[ 0.61476461  0.63837747  0.45835127  0.41324958  0.27284002  0.28087797
  0.44587538  0.65004313  0.44971343  0.34541743]
[ 0.52783971]
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  0.44310004  0.61892519  0.55439337  0.33612561]
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[ 0.05819748]
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[ 0.67588592]
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[ 0.42070824]
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[ 0.44718598]
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[ 0.71676274]
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[ 1.49601376]
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[ 0.84033903]
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[ 0.98950881]
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[ 1.10294817]
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[ 0.56409415]
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[ 1.62487927]
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[ 1.83589464]
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[ 0.4153851]
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[ 1.32977164]
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[ 0.19555456]
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[ 1.64886734]
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[ 0.0676077]
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[ 0.62309352]
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[ 1.0172915]
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[ 0.67889399]
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[ 1.25424865]
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[ 1.11172369]
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[ 1.30524371]
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[ 0.01800695]
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[ 0.02272707]
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[ 1.33783651]
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[ 0.2855598]
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[ 0.99986428]
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[ 0.63328033]
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[ 0.14621079]
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[ 1.27130616]
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[ 0.48642804]
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[ 0.2822699]
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[ 1.62195486]
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[ 3.36139723]
[ 0.71638521  0.55268094  0.49896354  0.5110899   0.34822156  0.24671677
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[ 0.77178896]
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[ 0.67353156]
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[ 0.35390941]
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[ 2.53258659]
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[ 1.84874439]
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[ 2.22035754]
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[ 0.34831839  0.65603904  0.38684262  0.68462391  0.37947008  0.64559694
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[ 2.03550424]
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[ 0.19495402]
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[ 0.82142729]
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[ 0.13898181]
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[ 0.88368429]
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[ 1.6879645]
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[ 0.02102802]
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[ 2.30433402]
[ 0.54888674  0.43161444  0.49451891  0.4339101   0.37206319  0.3073839
  0.54541452  0.72772115  0.40224894  0.20397236]
[ 0.37465417]
[ 0.62771004  0.47034365  0.61043659  0.23852828  0.50982933  0.38111865
  0.47082261  0.62427402  0.44635244  0.47579406]
[ 1.3097955]
[ 0.79574201  0.59673545  0.5501781   0.22975862  0.35273866  0.15964447
  0.50276292  0.66825884  0.5393122   0.2793546 ]
[ 1.35047742]
[ 0.61226489  0.40034997  0.64004926  0.28424649  0.40827263  0.37624142
  0.49561871  0.61792398  0.42827678  0.3324628 ]
[ 0.06899738]
[ 0.83019349  0.50213391  0.61655138  0.35792504  0.49358477  0.18556553
  0.51948652  0.70168439  0.37867553  0.41583876]
[-0.29646155]
[ 0.46122293  0.42607379  0.65145761  0.29816288  0.57125459  0.40015643
  0.45810325  0.50454143  0.33091448  0.49914318]
[ 0.44012244]
[ 0.5637001   0.57254674  0.54995454  0.37033112  0.51966873  0.30526236
  0.47047407  0.47817029  0.4533889   0.52047411]
[ 0.67889399]
[ 0.54131399  0.52739301  0.44763239  0.48363207  0.42982203  0.39040801
  0.59419463  0.68282561  0.42008135  0.29158222]
[ 1.31950059]
[ 0.40235507  0.71008953  0.44593377  0.61928766  0.35379008  0.73859002
  0.42365691  0.65884802  0.4656457   0.57812514]
Progress: 4.6% ... Training loss: 0.754 ... Validation loss: 1.070[-0.69492512]
[ 0.41229435  0.43722852  0.64083102  0.38369563  0.60183402  0.5687282
  0.38916056  0.38792613  0.3818451   0.56509368]
[-0.95822506]
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[-1.00226202]
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  0.39070153  0.43384267  0.31266479  0.3446711 ]
[ 0.67422697]
[ 0.55500658  0.4450412   0.57191922  0.344097    0.53539421  0.57782022
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  0.49352424  0.65774705  0.59278785  0.37591146]
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[ 0.12095438]
[ 0.61803192  0.72117574  0.47499719  0.58478958  0.34252102  0.34936383
  0.52297535  0.58488515  0.66603015  0.4741827 ]
[ 0.36039619]
[ 0.65685933  0.73132769  0.4556808   0.3666857   0.4092205   0.28639561
  0.47154078  0.56614096  0.62574738  0.41083768]
[-0.37815435]
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  0.51260516  0.6274104   0.37709505  0.43319676]
[-0.51361925]
[ 0.42111276  0.48137557  0.54664076  0.50538968  0.52318898  0.4501082
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[-0.66879156]
[ 0.41336388  0.48220713  0.55069755  0.44026334  0.51181012  0.66727969
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[ 2.27189535]
[ 0.74647747  0.70998178  0.4304594   0.53668098  0.25483044  0.13971403
  0.42740618  0.71924936  0.54552931  0.35648106]
[-1.02623429]
[ 0.6448121   0.72859312  0.45532644  0.5241443   0.41559805  0.46356632
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[-0.90047638]
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[-0.43697418]
[ 0.2468623   0.62413434  0.4657349   0.61327144  0.48430208  0.77832387
  0.40833847  0.3696961   0.42101347  0.66410595]
[-0.62874439]
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  0.41949144  0.75224109  0.5852053   0.39131746]
[-0.31071214]
[ 0.32170978  0.63073616  0.42979519  0.7280062   0.28597313  0.58395301
  0.50206368  0.69529756  0.52589727  0.47114679]
[-0.22643914]
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  0.38621574  0.63957534  0.55240406  0.4770834 ]
[-1.24996756]
[ 0.61433284  0.7160143   0.48713004  0.48910063  0.27911157  0.36617923
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[-1.08953779]
[ 0.43421888  0.72161074  0.4280682   0.52816004  0.32325079  0.42697563
  0.40223636  0.53748379  0.56932962  0.5195651 ]
[-1.34178159]
[ 0.59302409  0.80358924  0.32301753  0.62689594  0.2703348   0.33982319
  0.34407914  0.70863582  0.56460172  0.49584481]
[ 0.11310648]
[ 0.55386351  0.71404937  0.44823958  0.58938507  0.41810102  0.32708812
  0.57581888  0.61628067  0.61485622  0.49270404]
[ 2.56554068]
[ 0.81970109  0.75325883  0.48790019  0.37802004  0.40216512  0.33747587
  0.45020083  0.79623424  0.64061632  0.39497581]
[ 0.92279197]
[ 0.83726722  0.55187097  0.66073089  0.2435428   0.42895294  0.25147232
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[-0.52790598]
[ 0.28609818  0.60689132  0.48270853  0.61445223  0.45391729  0.6820669
  0.36588704  0.41868025  0.54516276  0.62843661]
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  0.33241972  0.51704674  0.56592881  0.49833607]
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  0.37041693  0.61703184  0.33854188  0.34481167]
[ 0.37976641]
[ 0.22059079  0.61371854  0.42725602  0.70565607  0.54446955  0.68663101
  0.32860898  0.3560162   0.51408101  0.5641724 ]
[ 1.26747997]
[ 0.45956802  0.47234147  0.49780329  0.45595355  0.50499578  0.70129285
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[-1.27730657]
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[ 0.43099287  0.61520911  0.48680966  0.37562595  0.5012308   0.58282504
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[-1.1915143]
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[ 0.73733574]
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[ 0.33304002  0.58031962  0.52872361  0.41619794  0.48450647  0.71625989
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[ 0.00513841]
[ 0.61250694  0.69051757  0.53805423  0.51337194  0.416783    0.33371582
  0.5095971   0.73263345  0.5865754   0.43044533]
[ 2.02046405]
[ 0.64482418  0.73758879  0.4182882   0.5604927   0.43841562  0.35846355
  0.58718673  0.59352788  0.71090329  0.30614152]
[-0.79674879]
[ 0.47906305  0.34221696  0.68836091  0.37593991  0.47557959  0.53778579
  0.472286    0.50775797  0.36086561  0.52098625]
[-1.2832894]
[ 0.69362005  0.39213952  0.59733703  0.4265563   0.53954144  0.39156336
  0.47792507  0.56927911  0.30577093  0.35392653]
[-1.06246183]
[ 0.45190956  0.63213142  0.51205662  0.58671953  0.3533815   0.50483282
  0.41391417  0.58869303  0.42527432  0.39101059]
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[ 0.7745872   0.57244864  0.67423511  0.2535647   0.46806224  0.32983332
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[-0.53078253]
[ 0.52660008  0.51334513  0.48875032  0.64289367  0.48869729  0.37469787
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[-1.31352115]
[ 0.69809148  0.62898013  0.47666035  0.4644192   0.3825779   0.53177971
  0.52093841  0.66370785  0.5064358   0.45014523]
[-0.93129152]
[ 0.78391028  0.52192413  0.47613345  0.40142819  0.38487545  0.31708344
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[ 0.57693883  0.7041715   0.52476621  0.21131034  0.51057442  0.49803028
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[ 0.53508685  0.58966124  0.42350484  0.6409435   0.49046507  0.60262302
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[ 0.37543336]
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[ 1.58302929]
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[ 0.90370159]
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[ 2.16753559]
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[ 0.48008307]
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[ 1.33909737]
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[ 0.57469055]
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[ 0.74415113]
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[ 2.85109713]
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[ 1.77103328]
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[ 0.8940515]
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[ 0.77396761]
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[ 1.76596804]
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[ 0.74494085]
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[ 0.48905863  0.58285556  0.54714378  0.57679661  0.5325749   0.53203321
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[ 2.33945612]
[ 0.77101768  0.68979674  0.51945928  0.5351748   0.39015673  0.36371239
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[ 0.45456707]
[ 0.60262236  0.59926752  0.4816912   0.41766998  0.32605865  0.27373556
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[ 0.4524671   0.62584111  0.57892431  0.44823671  0.5956955   0.54309958
  0.41226616  0.37005977  0.55079764  0.57796881]
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[ 0.45057845  0.49765299  0.53575803  0.48721516  0.42971586  0.59958703
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[-1.15721003]
[ 0.57554184  0.37870745  0.67388529  0.44728442  0.46968554  0.56011746
  0.4591982   0.57834932  0.40828217  0.38727207]
[-0.42539465]
[ 0.32535121  0.38681309  0.54162564  0.46918019  0.53446976  0.45198172
  0.48811767  0.35534306  0.46546985  0.64617438]
[ 1.10186498]
[ 0.5051013   0.73469966  0.38452556  0.56662191  0.29570006  0.47937752
  0.43202973  0.65023119  0.59543012  0.49171715]
[-0.41485966]
[ 0.18421505  0.57906949  0.45642226  0.67134967  0.48436495  0.78858491
  0.46128152  0.37917913  0.52852213  0.59327176]
Progress: 4.9% ... Training loss: 0.687 ... Validation loss: 1.200[-0.46209573]
[ 0.49489116  0.58936287  0.53149005  0.5360707   0.30772454  0.41072153
  0.39152221  0.44700037  0.54988931  0.45336923]
[ 0.04471684]
[ 0.74073784  0.54625512  0.56172817  0.4392114   0.25427194  0.1897717
  0.45407356  0.6836991   0.46153987  0.26623168]
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[ 0.69995925  0.67087279  0.42805536  0.48338178  0.42835689  0.3276806
  0.55157126  0.63752498  0.53872289  0.58057146]
[ 0.47460625]
[ 0.4126426   0.65105717  0.49472382  0.58849404  0.45033929  0.76786436
  0.35339014  0.64840865  0.6588885   0.61995306]
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[ 0.52252049  0.40928666  0.52158709  0.47982745  0.44491796  0.36720674
  0.5250906   0.5504764   0.47033276  0.22799781]
[ 0.1178985]
[ 0.55443414  0.56457213  0.54107925  0.55553303  0.43268091  0.33084035
  0.51429353  0.54383056  0.50579244  0.37450751]
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[ 0.33177066]
[ 0.70062482  0.62055618  0.47980797  0.37075048  0.31865881  0.17921295
  0.43422412  0.63287206  0.38354342  0.40573966]
[ 1.16165527]
[ 0.70974461  0.57905742  0.47014357  0.41399048  0.29998341  0.165962
  0.43884632  0.61477802  0.56168655  0.23699322]
[-0.79067384]
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  0.40579397  0.68989908  0.41844317  0.62214632]
[ 0.24771604]
[ 0.31366759  0.66356237  0.40221139  0.64327467  0.47008628  0.77290716
  0.50189612  0.54541162  0.41868853  0.63654789]
[-0.82045919]
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  0.36449436  0.52999544  0.41186742  0.40576706]
[ 0.69634782]
[ 0.79736856  0.59894171  0.51720965  0.38743743  0.45229882  0.3513339
  0.5497143   0.70910775  0.44966138  0.41637931]
[ 0.2020826]
[ 0.29653434  0.67657054  0.42922231  0.58040006  0.45024868  0.54813877
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[-0.11565156]
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  0.40492262  0.62204923  0.57603512  0.43326967]
[ 3.39159569]
[ 0.46783925  0.65561812  0.36607366  0.64165854  0.39699009  0.43960714
  0.54129075  0.58056109  0.61607507  0.2642881 ]
[ 0.95134368]
[ 0.710615    0.60838366  0.51316321  0.41424802  0.39871682  0.41549047
  0.56881742  0.69197889  0.48315812  0.44427727]
[ 0.8632002]
[ 0.67302255  0.54848527  0.54047158  0.45992834  0.29448864  0.22763725
  0.4574939   0.67039643  0.45963437  0.31416975]
[ 0.88321408]
[ 0.52297085  0.65776772  0.4232101   0.5279155   0.31066755  0.31200042
  0.52056703  0.5486549   0.62625463  0.34254249]
[-0.76299146]
[ 0.79356333  0.54732955  0.61849674  0.29044679  0.42915894  0.36819253
  0.58245015  0.76734088  0.63353505  0.33464713]
[ 0.58214554]
[ 0.45674125  0.65077058  0.45454705  0.48074462  0.41488325  0.6479896
  0.44018239  0.66237213  0.61122494  0.53307682]
[ 0.80323537]
[ 0.59106083  0.70304953  0.47511523  0.5368924   0.31549682  0.38317488
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  0.46959608  0.59787981  0.5265242   0.40902533]
Progress: 5.1% ... Training loss: 0.708 ... Validation loss: 1.070[ 1.14750213]
[ 0.51278485  0.52843437  0.56428127  0.55658661  0.33416494  0.5613407
  0.39291859  0.66893969  0.46492817  0.42415169]
[ 0.39091867]
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[ 0.69264398]
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[ 0.87276182]
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[ 1.27874489]
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[ 0.57254167]
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[ 2.15202094]
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[ 0.68123087]
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[ 0.08302381]
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[ 0.21866521]
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[ 1.40655281]
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[ 0.02661531]
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[ 0.06386765]
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[ 0.85686862]
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[ 1.79799263]
[ 0.61239463  0.49932481  0.5148992   0.45409061  0.32812701  0.19711213
  0.41323395  0.74609512  0.42841562  0.24983358]
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[-0.26412106]
[ 0.29901405  0.49477484  0.52373431  0.54384358  0.4538889   0.66241946
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[-0.17299994]
[ 0.44909119  0.44677465  0.49956399  0.51978316  0.48687189  0.56594223
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[ 0.35305165  0.73897368  0.41245381  0.64479466  0.36472495  0.62831073
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[ 0.53893331  0.45363709  0.56289856  0.46237831  0.40455178  0.41908529
  0.55462012  0.66516549  0.38929613  0.37433898]
Progress: 5.4% ... Training loss: 0.669 ... Validation loss: 1.175[-0.36689146]
[ 0.57307285  0.51742642  0.45456912  0.46792599  0.29298713  0.51927111
  0.4944459   0.70055855  0.44973495  0.30993802]
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[ 0.44471701  0.36016351  0.54956638  0.4952368   0.55672801  0.60509222
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  0.46965791  0.63869057  0.5737903   0.33374075]
[ 1.63061255]
[ 0.73005441  0.61489217  0.46883631  0.50738121  0.28078465  0.14489594
  0.43786921  0.63771898  0.53663158  0.32931884]
[ 0.14847234]
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  0.37708657  0.56884506  0.57783727  0.42863825]
[ 0.26990595]
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[ 0.91348328]
[ 0.64464231  0.62663983  0.42924131  0.54975641  0.30771617  0.19610362
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[ 1.55942196]
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[ 0.07264154]
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[ 0.40324618]
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  0.50212874  0.66441315  0.66948497  0.3819074 ]
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  0.36150913  0.47980022  0.50197253  0.65613077]
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[-0.97037514]
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[ 1.11597312]
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[ 1.00265148]
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[ 0.01398022]
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[ 1.62217575]
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[ 1.03379215]
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[ 0.02982021]
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[ 0.13124808]
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[ 0.52515649]
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[ 1.05374958]
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[ 0.0491582]
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[ 0.60201824]
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[ 0.90637552]
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[ 1.47706431]
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[ 1.24129534]
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[ 1.47809008]
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[ 0.42650593]
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[ 2.13602649]
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[ 0.17496309]
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[ 1.02416351]
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[ 1.98346269]
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[ 2.79079858]
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[ 0.4417405]
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[ 0.72438085]
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[ 0.89833385]
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[ 0.64761502]
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[ 0.81247865]
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[ 0.04132771]
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[ 0.23317327]
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[ 0.55936127]
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[ 1.48780981]
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[ 0.92903062]
[ 0.37819296  0.51015767  0.52614592  0.49674932  0.49736473  0.4607931
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[ 0.45749976  0.69836276  0.48871179  0.66194128  0.46643436  0.53753481
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[ 0.61668965]
[ 0.5069849   0.51130654  0.54962239  0.45349366  0.49497958  0.34242174
  0.43474456  0.46942159  0.41869932  0.5069836 ]
[ 0.93717886]
[ 0.85063072  0.55146653  0.48416477  0.48973009  0.29545713  0.09262806
  0.5119123   0.70511235  0.54514888  0.304657  ]
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[ 0.81564188  0.69764851  0.51183709  0.31476307  0.27982898  0.16623722
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[ 0.5560977   0.79672269  0.36099217  0.57975602  0.27973261  0.33542184
  0.35262951  0.66421424  0.63867035  0.46200243]
Progress: 5.7% ... Training loss: 0.662 ... Validation loss: 1.160[-0.25564838]
[ 0.44806023  0.58681269  0.62320116  0.45214086  0.52596095  0.55856483
  0.38840235  0.45575412  0.56235301  0.62687184]
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[ 0.92085016]
[ 0.7472305   0.74052897  0.52487105  0.37210939  0.36869292  0.1985467
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[ 0.08646845]
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[ 0.4347053   0.64245899  0.3894261   0.68562988  0.2529543   0.38928994
  0.33494129  0.43437991  0.58983108  0.36596986]
[ 2.72897197]
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[ 0.61424055]
[ 0.6015019   0.52231692  0.56366839  0.3970987   0.49492125  0.40398366
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[ 0.69431846  0.64171059  0.49715196  0.41380811  0.4924363   0.29444375
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[ 0.21526116]
[ 0.36051097  0.7152937   0.44191807  0.62259525  0.51426619  0.73285244
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[ 0.35228839]
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[ 0.5400768]
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[ 0.29058683]
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[ 0.03511923]
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[ 1.62890029]
[ 0.46886499  0.74448206  0.48936     0.57976781  0.46477652  0.43035423
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[ 0.14444603]
[ 0.45200965  0.41565941  0.50660934  0.35763005  0.4616206   0.43567762
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[ 0.82018806]
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[ 0.69959859]
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[ 0.26140897]
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[ 0.00371433]
[ 0.44767199  0.44690864  0.49881005  0.52035605  0.48781206  0.56825797
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[ 0.89183099]
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[ 0.28038593]
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[ 0.52177308]
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[ 1.78174424]
[ 0.70917987  0.5693795   0.5121047   0.4522155   0.25854025  0.18019451
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[ 1.05892135]
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[ 0.08065061]
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[ 1.09999219]
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[ 0.05174715]
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[ 0.64250021]
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[ 2.02930722]
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[ 1.36997356]
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[ 0.33902026  0.64884001  0.49270168  0.60999276  0.3813788   0.59646664
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[ 0.37429818  0.6300019   0.39685928  0.64912512  0.28276657  0.58578432
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[ 1.00157286]
[ 0.40419937  0.77089378  0.34048096  0.70636464  0.29430411  0.49535289
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[ 0.65940029  0.44099668  0.55098916  0.44074559  0.54217632  0.33759399
  0.49892309  0.57455312  0.41900846  0.44265549]
Progress: 6.0% ... Training loss: 0.690 ... Validation loss: 1.304[-0.88179935]
[ 0.61788884  0.67616073  0.43364486  0.57236358  0.32378015  0.386558
  0.39173664  0.54711478  0.47732846  0.48491731]
[ 0.36718944]
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[ 0.72219184]
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[ 0.70032031]
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[ 0.65497494]
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[ 0.23905512]
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[ 0.46371404]
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[ 1.55362062]
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[ 0.41606336]
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[ 0.17649949]
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[ 0.91551901]
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[ 0.10373846]
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[ 0.82982651]
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[ 1.68610482]
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[ 0.25422391]
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[ 0.36330172]
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[ 2.42528602]
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[ 0.15904318]
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[ 0.33786718]
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[ 0.73789164]
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[ 0.24676495]
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[ 1.37422036]
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[ 0.58532328]
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[ 1.6601753]
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[ 1.12813398]
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[ 1.37009967]
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[ 0.08404598]
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[ 0.49469477]
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[ 0.13084819]
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[ 1.3080442]
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[ 0.10641919]
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[ 0.43630977]
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[ 0.73112727]
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  0.50483855  0.41680665  0.5026969   0.4842322 ]
[ 1.71050592]
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[ 0.84983122]
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[ 0.88149164]
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  0.45763388  0.3953261   0.4325022   0.43316515]
[ 1.09965086]
[ 0.81386601  0.6608742   0.58789072  0.25946967  0.46040026  0.28877075
  0.66228778  0.73593088  0.57105267  0.34870323]
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  0.39227718  0.52935536  0.51100062  0.71212991]
[ 0.44690592]
[ 0.78736562  0.51506484  0.57147351  0.45023482  0.311504    0.14280185
  0.37058035  0.6140592   0.50790696  0.20559882]
[-0.48233479]
[ 0.48226513  0.72780485  0.47904546  0.67837753  0.43807377  0.51332091
  0.43095383  0.57351866  0.62189535  0.43883557]
[-0.40042402]
[ 0.69791511  0.64477131  0.41749959  0.50708477  0.50798431  0.40217233
  0.54977695  0.62001022  0.47466281  0.42798203]
[ 0.096631]
[ 0.50589619  0.6948336   0.41426295  0.6634473   0.30644819  0.28409468
  0.34577767  0.55377283  0.56421066  0.41854742]
[-0.35372128]
[ 0.5504132   0.48324922  0.70075787  0.33200842  0.59858496  0.64317992
  0.42029257  0.57832442  0.33491099  0.56701092]
[ 0.48457215]
[ 0.53956761  0.7337119   0.49719239  0.65946466  0.4095295   0.52173883
  0.48890305  0.68009651  0.5975608   0.56907967]
Progress: 6.3% ... Training loss: 0.659 ... Validation loss: 1.097[-0.52379983]
[ 0.69891036  0.81785386  0.45532934  0.41598296  0.3859465   0.40451813
  0.71471409  0.76651422  0.68069769  0.46125703]
[-0.39006592]
[ 0.51397713  0.32789432  0.69625037  0.41480659  0.57102141  0.42070552
  0.35568719  0.45877683  0.37663054  0.43151724]
[ 1.17012462]
[ 0.7954226   0.7571191   0.54313483  0.4560261   0.432813    0.28890574
  0.49957875  0.74453081  0.64116233  0.49468553]
[-0.88814367]
[ 0.39775569  0.69386635  0.39214974  0.6595519   0.36739119  0.54014257
  0.50508175  0.53704015  0.66653932  0.3589199 ]
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[ 0.38238157  0.39301823  0.56207262  0.38847959  0.5367712   0.62300428
  0.43623358  0.45237351  0.51562133  0.51148176]
[-0.01176879]
[ 0.60373535  0.63904274  0.43571556  0.54597817  0.44075994  0.35365677
  0.46353869  0.63190623  0.59760792  0.50991512]
[-0.61248782]
[ 0.35544889  0.67188655  0.35404985  0.64945302  0.3982741   0.67918063
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[ 0.07724827]
[ 0.45522062  0.33801181  0.58212135  0.37138756  0.52180364  0.52320476
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[ 0.55783852]
[ 0.58314465  0.69796879  0.53699517  0.6742137   0.46603404  0.54505142
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[ 1.08977596]
[ 0.6942987   0.53720806  0.59372898  0.39026387  0.4370002   0.36737839
  0.49138732  0.58919491  0.48295727  0.33258855]
[-0.97179427]
[ 0.85214337  0.52143399  0.55608969  0.36557532  0.26274564  0.19419198
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[-1.26230557]
[ 0.56208721  0.6868127   0.3810876   0.53049967  0.33631783  0.2301758
  0.47196423  0.47905052  0.5695573   0.33547147]
[-0.66730911]
[ 0.32103653  0.6635192   0.40978554  0.67281495  0.35829462  0.64392317
  0.53923598  0.60416322  0.62797685  0.44386707]
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[ 0.60098103  0.67765235  0.44483417  0.6946839   0.35269182  0.5747771
  0.4586263   0.64036795  0.54051453  0.50984634]
[-0.74068363]
[ 0.4888322   0.64464384  0.35848733  0.66851849  0.30839392  0.35398015
  0.30612413  0.47632079  0.54331398  0.38457663]
[-0.04711243]
[ 0.6452228   0.65453379  0.57193852  0.49395126  0.40240109  0.33357412
  0.5461425   0.6422773   0.53099671  0.39567128]
[-0.68543882]
[ 0.48644501  0.70000003  0.44293013  0.68048277  0.30109964  0.59821826
  0.38635788  0.56021755  0.61122487  0.53866718]
[-0.76626023]
[ 0.53745416  0.586891    0.47666388  0.55273865  0.47172745  0.6698291
  0.5414966   0.59360079  0.53343088  0.51220687]
Progress: 6.6% ... Training loss: 0.651 ... Validation loss: 1.171[-0.00191254]
[ 0.49233494  0.68693651  0.44656615  0.63756469  0.30404302  0.34106088
  0.38017527  0.56031971  0.57022684  0.47932233]
[-0.67790637]
[ 0.55613046  0.57261052  0.46588866  0.53938262  0.34689053  0.53699401
  0.39591734  0.70728262  0.43169816  0.38652462]
[ 1.40968945]
[ 0.79046921  0.60235266  0.61569935  0.50912794  0.399606    0.25032168
  0.39808472  0.75929378  0.61208577  0.30577726]
[ 1.40389467]
[ 0.78175968  0.26347236  0.71007846  0.21017019  0.40242144  0.3055
  0.48749508  0.71355896  0.33506102  0.23087276]
[-0.10757818]
[ 0.31853972  0.42080266  0.47391331  0.55939982  0.38668346  0.71518308
  0.37701102  0.52986927  0.38613333  0.37576362]
[ 2.08324181]
[ 0.80632509  0.53132818  0.62484523  0.34349668  0.46706424  0.22900304
  0.53260082  0.7022543   0.44489584  0.34565576]
[ 0.22092972]
[ 0.65906651  0.68771329  0.42925415  0.44144837  0.32451562  0.1897475
  0.37583315  0.64247238  0.48588036  0.42427922]
[ 0.83819598]
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  0.43617515  0.71093981  0.53025492  0.33172714]
[-0.98277409]
[ 0.67250157  0.81934758  0.40339563  0.60102295  0.43454327  0.39409786
  0.4112863   0.69697113  0.59198144  0.62939165]
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[-0.75920061]
[ 0.35811844  0.64104343  0.46427681  0.59540698  0.3324827   0.45884879
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[ 0.20652814]
[ 0.65133184  0.61694157  0.52822563  0.57865195  0.42009496  0.40030021
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[ 0.32672839]
[ 0.18682026  0.62209706  0.43615929  0.6710562   0.528828    0.82280957
  0.30651422  0.29913124  0.57820667  0.69751018]
[-1.01743471]
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[ 0.83623667]
[ 0.38054043  0.6178292   0.40362198  0.43572824  0.41715463  0.65064387
  0.40873496  0.53701336  0.48172566  0.46229736]
[-0.45912919]
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  0.38563128  0.66492848  0.48244039  0.51054432]
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[ 0.38088819]
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[-0.03381264]
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[ 0.72641764]
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  0.3511357   0.56610665  0.4565318   0.43889305]
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[-0.49651045]
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  0.4980421   0.72194878  0.4779975   0.265284  ]
[ 2.42264655]
[ 0.81288212  0.64983396  0.48806921  0.4300114   0.21930209  0.13362225
  0.48020617  0.78430796  0.54438545  0.2183178 ]
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  0.38312981  0.5416605   0.49517053  0.38453477]
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  0.52046064  0.68436684  0.55244722  0.42202446]
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  0.43682727  0.50733931  0.47532912  0.58010526]
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[ 1.34475426]
[ 0.35155948  0.69825039  0.35833849  0.67175     0.30488077  0.53321818
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[ 2.19812822]
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[ 0.55241428]
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[ 1.0656591]
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[ 0.55094506]
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[ 1.04000635]
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[ 2.42357306]
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[ 0.35207856]
[ 0.49891954  0.60599705  0.44757444  0.41054088  0.27036998  0.36515111
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[ 1.40382622]
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[ 0.38296685]
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[ 0.44074802]
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[ 3.13620117]
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[ 0.19263598]
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[ 0.64838589]
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[ 0.15069258]
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[ 2.37781279]
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[ 0.26530912]
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[ 0.46601082]
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[ 0.46937465]
[ 0.51547078  0.70005789  0.50022743  0.61525617  0.35743713  0.36024309
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[ 1.07018691]
[ 0.61801131  0.56655018  0.4291888   0.49875088  0.34551196  0.25124319
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[ 0.79749551]
[ 0.31639945  0.64409775  0.40817346  0.56251424  0.38831186  0.63877282
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[ 2.53485253]
[ 0.54969524  0.49269596  0.47576205  0.42549325  0.3447024   0.19805235
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[ 0.48069491]
[ 0.30435955  0.62015948  0.56585088  0.67884157  0.43603393  0.64440369
  0.35569426  0.39870103  0.59641005  0.59524108]
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  0.49449366  0.6541901   0.59136285  0.36290576]
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[ 0.44620483  0.7355039   0.34730406  0.69363647  0.43702574  0.64866654
  0.36371204  0.61729791  0.49838129  0.63586547]
[-0.84274125]
[ 0.5119189   0.7058901   0.34142896  0.70940394  0.24457758  0.29519311
  0.36395859  0.53311997  0.62717203  0.43786736]
[ 2.13605014]
[ 0.4301459   0.76854058  0.38320493  0.62502906  0.28463268  0.44641437
  0.36171546  0.57778202  0.48902084  0.53697041]
[-0.60308002]
[ 0.4445111   0.70138469  0.37705156  0.56364101  0.33458345  0.41859788
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[ 0.51580325]
[ 0.41167732  0.49090318  0.44380101  0.49432373  0.45499039  0.62745027
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[ 0.3440121   0.71486634  0.50903318  0.55115245  0.42563666  0.68530537
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[ 0.6378948   0.72507407  0.39550546  0.60293601  0.22363495  0.30501064
  0.41616548  0.69244642  0.62295707  0.41774851]
[ 1.24788781]
[ 0.48346798  0.70950685  0.31752063  0.63324638  0.45170112  0.58785209
  0.531865    0.60807338  0.52783001  0.4614736 ]
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[ 0.40649778]
[ 0.30946303  0.60611593  0.43428761  0.48424511  0.4437507   0.59810819
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[ 0.73840797]
[ 0.79957918  0.57801004  0.56301991  0.26099563  0.35712314  0.12140663
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[ 0.84929608]
[ 0.43109143  0.68475484  0.47500511  0.56568206  0.34180789  0.56221083
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[-0.24175126]
[ 0.3984954   0.40148602  0.53272294  0.43688896  0.52196263  0.54466127
  0.51098815  0.56604175  0.34807527  0.46967914]
[-0.23692819]
[ 0.27757309  0.63978825  0.40001334  0.52234486  0.47376442  0.65361124
  0.37839695  0.3565728   0.39358188  0.65698841]
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[ 0.51840018  0.4708193   0.50964916  0.26661168  0.49721661  0.48834984
  0.49616022  0.63261419  0.5512259   0.38146853]
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[ 0.44111606  0.49610033  0.48698119  0.52845815  0.37513282  0.33408482
  0.40843032  0.55126362  0.43402239  0.35278992]
[-0.13218406]
[ 0.1860208   0.40263418  0.49334089  0.67912959  0.49096649  0.68454033
  0.39121925  0.29844406  0.46156401  0.4557038 ]
[ 1.00950335]
[ 0.48387522  0.57326649  0.46840795  0.4737341   0.32808958  0.39271667
  0.4144663   0.46360543  0.55446136  0.40417528]
[-0.44016701]
[ 0.44222166  0.73899634  0.42110102  0.6060458   0.32880949  0.73142111
  0.42715116  0.67746901  0.55485755  0.57648571]
[-0.50904774]
[ 0.55777352  0.6511725   0.4356551   0.52264577  0.28171444  0.33405846
  0.42762496  0.69200356  0.49220872  0.45124266]
Progress: 6.9% ... Training loss: 0.645 ... Validation loss: 1.106[-0.69011905]
[ 0.56235142  0.74098032  0.34622336  0.6695944   0.2891843   0.25199758
  0.4830886   0.60707819  0.65874569  0.61025253]
[-0.88202353]
[ 0.62938836  0.71285929  0.44098813  0.6391411   0.24155681  0.28422753
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[ 1.0477374]
[ 0.7143372   0.49638379  0.64167089  0.32159558  0.56541116  0.22701544
  0.45725537  0.64101935  0.40301233  0.42861636]
[-0.35467474]
[ 0.57902188  0.37686994  0.66932544  0.35002315  0.5830276   0.418197
  0.39435457  0.55984671  0.41413515  0.45055639]
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[ 0.71478153  0.48682426  0.52644135  0.390355    0.39195586  0.13885311
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[ 0.44842263  0.29618588  0.57782126  0.4026092   0.54642958  0.33480861
  0.44734866  0.44876549  0.34392753  0.30954215]
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[ 0.49957347  0.6542908   0.4459079   0.50886003  0.39239238  0.66530161
  0.50480682  0.75046352  0.58363274  0.45623133]
[ 0.55171403]
[ 0.59453625  0.60425944  0.49593583  0.49066292  0.32846683  0.32954274
  0.3483104   0.57848669  0.56742     0.39920987]
[ 0.03682618]
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[-0.55426968]
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[-0.19565145]
[ 0.66049817  0.24461687  0.7350176   0.22029534  0.46343561  0.30532623
  0.45615281  0.53044669  0.28918352  0.2665598 ]
[ 0.96733529]
[ 0.54037964  0.45747621  0.58055235  0.19836021  0.53501291  0.54316762
  0.49187735  0.66852984  0.47574289  0.4566703 ]
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  0.53284005  0.41133814  0.41459098  0.49835015]
[ 0.53070693]
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[-0.5196051]
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[ 0.4755155]
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[ 0.43408541  0.37624736  0.54789348  0.59970952  0.55930239  0.75111367
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[ 0.27711274]
[ 0.65240397  0.68511884  0.60524336  0.5146779   0.44147632  0.39172451
  0.46259563  0.5802462   0.61266624  0.4411874 ]
[ 1.7868092]
[ 0.62485826  0.64780198  0.41025195  0.48778619  0.2493279   0.23342241
  0.44144745  0.54197116  0.58302997  0.27008106]
[-0.35380744]
[ 0.29592964  0.48489062  0.54401756  0.5104727   0.59050416  0.66267078
  0.48363918  0.32850941  0.32706494  0.58497359]
[-1.14202922]
[ 0.72186488  0.70108657  0.50258276  0.51443017  0.24172653  0.25371452
  0.43673494  0.63662692  0.57592907  0.36760647]
[ 1.66338421]
[ 0.7043638   0.69952124  0.4608884   0.35532682  0.27909573  0.19010955
  0.48024194  0.7206491   0.53611871  0.4719799 ]
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  0.51189403  0.57201698  0.38964972  0.44299318]
[-0.36638156]
[ 0.55398408  0.52187243  0.6284333   0.29255179  0.58630013  0.37693044
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[ 0.2523431]
[ 0.6829815   0.61975523  0.49003623  0.40678478  0.33162369  0.15850093
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[ 0.01529596]
[ 0.67522619  0.45304531  0.63367505  0.25219791  0.4999653   0.32948869
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[ 2.40787526]
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[ 1.54411864]
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[ 0.1817115]
[ 0.65205666  0.54292079  0.51982086  0.31431207  0.3752092   0.19287583
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[ 0.02382405]
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[ 0.08496151]
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[ 0.8866989]
[ 0.65584287  0.64149284  0.44516779  0.55174962  0.30356419  0.22317842
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[ 0.37716654]
[ 0.50455926  0.447597    0.57551203  0.44371377  0.48570111  0.55305082
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[ 0.20261892]
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[ 0.13333092]
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[ 0.77331002]
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[ 0.17693836]
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[ 1.3764404]
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[ 0.51160083]
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[ 0.40304383]
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[ 0.04418218]
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[ 0.44095142  0.44505124  0.61079633  0.64571644  0.41885666  0.59194721
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[ 3.3749583]
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[ 0.0260947]
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[ 0.13911899]
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[ 0.09795569]
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[ 0.79990659]
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[ 1.30800979]
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[ 2.94274414]
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[-0.37018619]
[ 0.45166905  0.67846056  0.54918072  0.41624689  0.61115301  0.53816538
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[ 0.20107597]
[ 0.49280817  0.70610101  0.45476363  0.62075097  0.27059576  0.36838193
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[ 0.25778159]
[ 0.49108597  0.65480674  0.45264383  0.59306744  0.26625804  0.44406232
  0.458679    0.68638441  0.51326598  0.49456143]
Progress: 7.1% ... Training loss: 0.639 ... Validation loss: 1.111[-0.66820608]
[ 0.65808544  0.76338146  0.44378854  0.62354552  0.30457967  0.31431699
  0.38940915  0.5667405   0.70994546  0.40436079]
[ 0.26385186]
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[ 0.15854976]
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[ 1.13287961]
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  0.52176612  0.71109084  0.41264032  0.28500079]
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[ 0.86013351]
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[ 1.41638789]
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  0.61947105  0.70796607  0.56079896  0.2321516 ]
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[ 1.73749407]
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[ 0.22356817]
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[ 1.7986203]
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  0.47191511  0.60071781  0.56264058  0.22391223]
[ 1.64146284]
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  0.42834542  0.48620376  0.4016507   0.43356725]
[ 0.66119847]
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[ 0.68485929]
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[ 2.01325645]
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[ 0.69331427]
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[ 1.42309389]
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[ 0.29260625]
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[ 0.88285002]
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[ 0.92172345]
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[ 0.38755988]
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[ 0.67907134  0.59730791  0.48927042  0.56106012  0.34326603  0.59803351
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[ 0.71042399  0.45581778  0.6847468   0.44576036  0.57190777  0.39132996
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[-0.38724383]
[ 0.42600308  0.66177539  0.51776911  0.53164648  0.41368508  0.62769849
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[-1.11954012]
[ 0.65855969  0.70201207  0.5254992   0.55549784  0.48066172  0.39639833
  0.48705867  0.65176011  0.51825915  0.4949427 ]
Progress: 7.4% ... Training loss: 0.637 ... Validation loss: 1.140[-0.70164313]
[ 0.51747171  0.65824347  0.454987    0.50358029  0.37417689  0.61725689
  0.46166719  0.60079067  0.5234101   0.51647729]
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[ 0.04025599]
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[ 0.00829948]
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[ 0.17591074]
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[ 0.80084322]
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[ 0.21537214]
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  0.31415277  0.54948751  0.45605498  0.67333926]
[ 0.85273567]
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[ 0.02186786]
[ 0.56989608  0.72141647  0.46070224  0.46457279  0.38327917  0.38213099
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[ 0.70649826]
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[ 1.09131533]
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[ 0.73159346]
[ 0.51047161  0.5386893   0.52570746  0.45583824  0.42616521  0.40384618
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[ 1.80808983]
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[ 0.42594069  0.76319106  0.28479862  0.6234435   0.28299349  0.49445055
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[ 0.78968544  0.63089628  0.52092086  0.28988662  0.3607374   0.2218919
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[ 0.01858867]
[ 0.37314169  0.73103178  0.40872393  0.66889306  0.38858411  0.68817324
  0.5196678   0.62892209  0.60271732  0.51904508]
Progress: 7.7% ... Training loss: 0.632 ... Validation loss: 1.110[-0.83033516]
[ 0.52888566  0.72184823  0.40179954  0.64370118  0.27640681  0.28386826
  0.45566999  0.67507847  0.49416476  0.67434083]
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[ 2.87296109]
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[ 0.08485703]
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[ 0.08860312]
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[ 0.9716619]
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[ 1.0183901]
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[ 0.19371873]
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[ 0.00895336]
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[ 1.09220144]
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[ 1.15398288]
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[ 0.79661314]
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[ 1.16826188]
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[ 0.92819057]
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[ 1.56130141]
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[ 0.06341705]
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[ 0.20253963]
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[ 1.15181614]
[ 0.60160833  0.60325418  0.4245029   0.39114988  0.37519947  0.27694026
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[ 0.22153255]
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[ 2.44895922]
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[ 0.46727508]
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[ 3.4543866]
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[ 0.4799856]
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[ 0.72214986]
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[ 0.30499297  0.54323214  0.39197123  0.73866269  0.47545055  0.60382322
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[ 3.17744816]
[ 0.52554586  0.75631935  0.37083908  0.52417961  0.31394324  0.32323584
  0.44840116  0.6107325   0.58828932  0.42110052]
[ 0.20331318]
[ 0.43529466  0.75439955  0.36048484  0.69507299  0.28636122  0.47274811
  0.45063785  0.46717497  0.62056244  0.50811703]
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[ 0.61401038  0.47959006  0.47613978  0.52275609  0.38313398  0.42270611
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[-0.4729562]
[ 0.45245175  0.61970875  0.53006032  0.62442202  0.5968447   0.56041238
  0.4726674   0.48369566  0.54844878  0.61780872]
[-0.12992293]
[ 0.35998468  0.57892982  0.60126199  0.48827507  0.56571513  0.61755124
  0.36946903  0.36653251  0.48487628  0.71613046]
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[ 0.40216655  0.53242606  0.56961774  0.50374203  0.46615362  0.42814406
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[ 0.31712922  0.47172944  0.57899394  0.49357565  0.48621387  0.69186402
  0.40257812  0.43909476  0.39643402  0.62644345]
Progress: 8.0% ... Training loss: 0.635 ... Validation loss: 1.159[ 1.69367424]
[ 0.62453073  0.54962426  0.39564937  0.52556604  0.25928213  0.15580969
  0.49145553  0.65778596  0.46381617  0.40889929]
[ 0.3677908]
[ 0.36568774  0.49034726  0.51645978  0.51983129  0.50611652  0.67579328
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  0.35550516  0.30350253  0.39595925  0.5634645 ]
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[ 0.37735412  0.412523    0.50066477  0.55660365  0.39002673  0.31113344
  0.46851398  0.54088401  0.44643033  0.33999662]
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[ 0.30328996  0.61173035  0.43555729  0.64250046  0.34203486  0.55890068
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[ 0.10899636]
[ 0.55514288  0.4397004   0.54700733  0.65628472  0.46730602  0.50612656
  0.50698764  0.52481492  0.50878996  0.38422578]
[ 2.29107426]
[ 0.51816601  0.49244104  0.47763591  0.39694087  0.36473573  0.56321495
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  0.36596179  0.51079323  0.34680801  0.46758596]
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  0.4065782   0.58693984  0.43647686  0.70683036]
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[ 0.72505438]
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[ 0.30714589]
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[ 0.78231828]
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[ 1.60434821]
[ 0.53571215  0.7461119   0.4319709   0.52114944  0.42467373  0.49184561
  0.572151    0.62155822  0.62174072  0.41264715]
[ 0.02535968]
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[ 0.52752619]
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[ 0.71467109]
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  0.51455701  0.67017285  0.72716121  0.51487464]
[ 0.22657957]
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[ 0.41178889]
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[ 1.32545787]
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[ 0.59665753]
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[ 1.30130264]
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[ 1.264827]
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[ 2.53627851]
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[ 2.06158349]
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[ 0.17761152]
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[ 0.27953771]
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[ 1.44352785]
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[ 1.31291832]
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[ 0.10990071]
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[ 0.21988232]
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[ 2.5654859]
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[ 0.04624163]
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[ 0.77661859]
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[ 0.00012275]
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[ 0.07177778]
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[ 1.16733783]
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[ 0.40468862]
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[ 1.59565934]
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[ 0.48516437]
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[ 0.91121373]
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[ 1.89539636]
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[ 0.04118515]
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[ 0.65133937]
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[ 1.13188454]
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[ 1.24017152]
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[ 0.11552144]
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[ 0.14274981]
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[ 1.09644709]
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[ 0.08252521]
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[ 0.72855384]
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[ 1.2115579]
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[ 0.17513983]
[ 0.19339461  0.59359797  0.41002842  0.65067312  0.54749537  0.85759191
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[ 0.20408106]
[ 0.38032943  0.58528349  0.36489857  0.55812828  0.40170891  0.53173277
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[ 0.59920476  0.69893902  0.41947214  0.65851147  0.46791516  0.37784621
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[-1.11498347]
[ 0.73901966  0.78144314  0.44239726  0.55446307  0.45935267  0.39336144
  0.3859208   0.74667383  0.58480265  0.4993126 ]
[-0.22402594]
[ 0.30193191  0.46302176  0.55049823  0.48368012  0.58271812  0.55884667
  0.37985892  0.28733715  0.37443473  0.50357086]
[ 2.82157124]
[ 0.72992978  0.47406079  0.52847502  0.54006543  0.26653611  0.13830976
  0.40410859  0.71580649  0.39655965  0.27343657]
[-0.37882248]
[ 0.65907614  0.63569386  0.42671708  0.50452209  0.39731249  0.53662347
  0.51013628  0.66166275  0.54431703  0.5340195 ]
Progress: 8.3% ... Training loss: 0.634 ... Validation loss: 1.022[-1.0491025]
[ 0.46804086  0.54021404  0.53527761  0.58662673  0.34012234  0.35792836
  0.32271842  0.53988239  0.40422703  0.35208982]
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[ 1.55424587]
[ 0.60017779  0.74986713  0.41022839  0.65545419  0.22434287  0.27338971
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[ 0.7598523   0.64311458  0.51913307  0.42127143  0.24729734  0.23865624
  0.5430175   0.74628112  0.59259019  0.3362249 ]
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  0.52765936  0.67417216  0.45116667  0.5043526 ]
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[ 1.51524754]
[ 0.43343089  0.53083107  0.4701832   0.48455319  0.5022027   0.50410271
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[ 0.07936678]
[ 0.34687275  0.73275463  0.39876063  0.69349333  0.47089682  0.60931594
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[-0.60911149]
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[ 0.43382318  0.31876453  0.6211924   0.44049949  0.56629902  0.49042369
  0.445344    0.33055142  0.375377    0.41577997]
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[ 0.60440201  0.65287398  0.56815853  0.45412122  0.33172302  0.3375219
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[ 0.30503204]
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[ 0.37374132]
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[ 0.24892609]
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[ 1.09761885]
[ 0.49739861  0.5768525   0.52154747  0.42817537  0.41835618  0.45122452
  0.46147508  0.54577049  0.46518422  0.38886727]
[ 0.08458368]
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[ 1.33792638]
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[ 0.02044602]
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[ 0.2091681]
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[ 0.52579628]
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[ 0.18692718]
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[ 0.49796521]
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[ 0.37207639]
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[ 0.01096532]
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[ 0.31382855]
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[ 0.17867447]
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[ 0.04911811]
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[ 2.05925112]
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[ 0.2496939]
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[ 0.83547688]
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[ 0.65514852]
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[ 0.34308241]
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[ 1.45280283]
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[ 1.98994616]
[ 0.7931463   0.39279181  0.61182223  0.21564441  0.45375626  0.24609662
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[ 2.49180924]
[ 0.52315697  0.58559755  0.4386252   0.55055186  0.48340903  0.52413574
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[ 0.38535001  0.33633118  0.70841503  0.38405941  0.49865449  0.6315489
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[ 2.25865752]
[ 0.57732696  0.61389894  0.38538747  0.60938731  0.32398547  0.2450696
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[ 0.32139902  0.64602627  0.38974189  0.63790773  0.43399564  0.54768862
  0.38539849  0.43567614  0.63920115  0.4731839 ]
[-0.46208101]
[ 0.84213262  0.57941864  0.52416024  0.32117137  0.23094509  0.1901763
  0.44934924  0.73593679  0.49344883  0.2255745 ]
[-0.84908837]
[ 0.54304244  0.40031156  0.66040009  0.40657275  0.48642504  0.39918794
  0.48542482  0.43690914  0.36330926  0.45163856]
[-0.36594003]
[ 0.63253131  0.52771575  0.5754488   0.40775312  0.47590316  0.4931937
  0.43796096  0.72125014  0.63241232  0.40525239]
[ 2.54475498]
[ 0.82798924  0.5744874   0.54481696  0.34858666  0.37394694  0.29088904
  0.53674252  0.82813756  0.4368034   0.30278619]
[-0.00511378]
[ 0.39349066  0.43467708  0.58145299  0.3423657   0.50688851  0.5504917
  0.54097891  0.57993838  0.49308598  0.40611177]
Progress: 8.6% ... Training loss: 0.620 ... Validation loss: 1.055[ 2.72147404]
[ 0.77660433  0.55304469  0.4974839   0.39716421  0.26750866  0.12694555
  0.42451958  0.69239926  0.49401343  0.30068499]
[ 0.16660257]
[ 0.4517043   0.72545629  0.40367456  0.65909852  0.28608991  0.59544095
  0.49573968  0.73818743  0.57852552  0.51048256]
[-1.45460236]
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  0.36632947  0.62699176  0.57129878  0.35127754]
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[ 0.18218989]
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  0.3706088   0.46223675  0.42845041  0.45386137]
[ 1.3451195]
[ 0.72719933  0.6825531   0.56880989  0.4723531   0.40860956  0.37309477
  0.49549963  0.78050647  0.54128876  0.42717426]
[ 0.87509918]
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[ 0.82355114]
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  0.45209209  0.55760783  0.44120765  0.49224271]
[ 0.21085407]
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[ 0.00339916]
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[ 2.55068944]
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[ 0.61745843]
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[ 1.01729028]
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[ 1.26717843]
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[ 0.31930707]
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[ 0.1724708]
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[ 1.45636953]
[ 0.76155791  0.58836368  0.52232077  0.43203881  0.22536011  0.14831797
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[ 0.46455716  0.37461056  0.54435093  0.5253405   0.51797088  0.53693263
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[-0.1966857]
[ 0.36647556  0.63644369  0.43382621  0.67120614  0.36972553  0.62502394
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[ 0.59838614  0.70431148  0.48564183  0.52549568  0.36523053  0.47294542
  0.37861207  0.63715136  0.55535473  0.52107394]
Progress: 8.9% ... Training loss: 0.619 ... Validation loss: 1.108[-0.14275079]
[ 0.34160645  0.44417726  0.63006141  0.53096853  0.46572397  0.80240926
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[ 1.02183978]
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[ 0.00485246]
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[ 1.32920119]
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[ 0.28062832]
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[ 0.40588121]
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[ 1.37467499]
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[ 0.21289902]
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[ 0.34070999]
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[ 0.82552777]
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[ 0.15218119]
[ 0.43718413  0.6631459   0.30364606  0.61781946  0.28955998  0.41512682
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[ 3.40135797]
[ 0.80988257  0.45326374  0.56353052  0.24627478  0.33023815  0.23706043
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[ 0.57789933  0.58967593  0.53317723  0.52127579  0.48625932  0.58103324
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[ 1.8179817]
[ 0.65408962  0.73761959  0.44030817  0.54784462  0.32062098  0.33725977
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[ 2.26971767]
[ 0.49767595  0.52595302  0.53802564  0.36224918  0.50117972  0.42450621
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[ 0.64020475  0.70828584  0.53958885  0.49057312  0.36532026  0.46237542
  0.52415828  0.56762939  0.60176077  0.4350485 ]
Progress: 9.1% ... Training loss: 0.625 ... Validation loss: 0.996[-0.44617529]
[ 0.36398796  0.70367707  0.3619235   0.54099892  0.52356099  0.65858554
  0.3251812   0.46727691  0.48474951  0.59634151]
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[ 0.6259333]
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[ 0.0893515]
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[ 0.13055754]
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[ 0.57425427]
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[ 0.57381811]
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[ 0.57483535]
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[ 2.65495092]
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[ 0.58387446]
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[ 0.20833498]
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[ 0.30769437]
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[ 0.13621672]
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[ 0.0253909]
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[ 0.90885598]
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[ 1.0186289]
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[ 0.13688016]
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[ 0.48574306]
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[ 1.26365206]
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[ 0.08776871]
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[ 0.90629946]
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[ 0.4901332   0.73981254  0.38555337  0.68696859  0.31662096  0.32655023
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[ 0.55614691  0.6910065   0.52431639  0.54787337  0.45182103  0.45598585
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[ 0.82144389  0.55633976  0.55762996  0.32952325  0.42098166  0.26959072
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[ 1.1477148]
[ 0.82329448  0.55676553  0.61379846  0.36835472  0.44670156  0.17027372
  0.44954821  0.69484448  0.53811751  0.22669901]
Progress: 9.4% ... Training loss: 0.632 ... Validation loss: 1.181[ 1.66556616]
[ 0.64982514  0.75520686  0.36281783  0.54629089  0.25716679  0.24645453
  0.45845369  0.67529934  0.57911872  0.36896223]
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[ 0.15661189]
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[ 0.44585046]
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[ 0.84394888]
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[ 0.24602666]
[ 0.36723791  0.49512533  0.54809052  0.52436462  0.48096225  0.81859122
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[ 0.40460235]
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[ 0.96730795]
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[ 0.28615324]
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[ 0.10534529]
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[ 0.44540926]
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[ 0.06357019]
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[ 2.07002146]
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[ 0.16027027]
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[ 1.29268198]
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[ 0.24258194]
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[ 1.16155126]
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[ 0.14668911]
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[ 0.19451177]
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[ 1.08551431]
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[ 1.04267268]
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[ 1.68815838]
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[ 2.52980141]
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[ 0.50476897]
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[ 0.1446254]
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[ 0.2724214]
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[ 0.24098947]
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[ 0.56995515]
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[ 0.00150193]
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[ 2.48859208]
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[ 0.12381527]
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[ 0.05532363]
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[ 0.13002808]
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[ 0.12129697]
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[ 1.19967664]
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[ 1.80641804]
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[ 0.10673705]
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[ 1.33750409]
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[ 1.75669454]
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[ 0.24839337]
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[ 1.27246498]
[ 0.30855637  0.57193155  0.47497961  0.59810135  0.52135908  0.57849038
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[ 1.08722609]
[ 0.37955055  0.50756397  0.53050161  0.49292861  0.49258784  0.46001855
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[ 0.9576091]
[ 0.77968018  0.53189891  0.65894322  0.30386254  0.48082869  0.31752288
  0.51120653  0.6867693   0.42740915  0.36182664]
[-0.07833059]
[ 0.61840987  0.47786526  0.62855744  0.46754102  0.51580424  0.45702583
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[-0.0662175]
[ 0.36765415  0.53401174  0.46503824  0.45059347  0.52021994  0.58451897
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[ 0.17539261]
[ 0.35464547  0.48236827  0.60536598  0.55571373  0.50591477  0.59540792
  0.44105293  0.37693937  0.39341837  0.69944104]
Progress: 9.7% ... Training loss: 0.616 ... Validation loss: 1.004[-0.37346985]
[ 0.48284682  0.38003913  0.58000422  0.41559244  0.51439971  0.56939611
  0.4057678   0.39175209  0.33204933  0.41222461]
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[ 0.10707602]
[ 0.22305761  0.67784627  0.44237932  0.69678553  0.49191191  0.71952544
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[ 0.60856946]
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  0.32400319  0.31827293  0.41036311  0.5853612 ]
[ 0.28347023]
[ 0.19778129  0.58502663  0.44688722  0.70017437  0.55023866  0.79435371
  0.40558081  0.30755503  0.3867157   0.64203338]
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[-1.17530559]
[ 0.6974116   0.75387008  0.50037806  0.60333549  0.35838725  0.36938662
  0.44467786  0.6666584   0.54841888  0.52664879]
[-0.50789127]
[ 0.81641764  0.45422525  0.68436201  0.33536035  0.50277231  0.24500716
  0.4568453   0.7687659   0.49284134  0.29324175]
[ 2.14235811]
[ 0.32159887  0.62196078  0.39871581  0.60639644  0.46693675  0.80325894
  0.36285475  0.60734076  0.5859039   0.59200134]
[-1.15472699]
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  0.37867944  0.54876719  0.39259199  0.40853771]
[-0.43521469]
[ 0.75773967  0.744722    0.49089022  0.35200312  0.44249043  0.44441901
  0.56957047  0.64227272  0.58893909  0.45497872]
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  0.53513452  0.7689427   0.34513174  0.21451358]
[ 1.24279754]
[ 0.83383377  0.56160205  0.53052753  0.38262137  0.22334455  0.12447259
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[ 0.29093419  0.47370676  0.5171513   0.55353348  0.55645671  0.72879481
  0.33778483  0.43677755  0.26616978  0.60545416]
[ 1.62289707]
[ 0.8698701   0.4648466   0.54554658  0.44903359  0.33652575  0.10762325
  0.6081532   0.86944384  0.39949284  0.33154791]
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[-0.45906915]
[ 0.3188474   0.53563921  0.42005138  0.5154109   0.41468502  0.64612932
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[ 0.21275192]
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[ 0.80609094]
[ 0.81281209  0.55635442  0.60970917  0.30340318  0.28853765  0.12975247
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[ 0.66236613]
[ 0.76823047  0.61727287  0.54150033  0.33766566  0.29544969  0.11616845
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[ 0.37445405  0.66368308  0.50414033  0.54906792  0.50022488  0.57395075
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[ 0.06519084]
[ 0.46727753  0.80150985  0.36187182  0.73378748  0.23825522  0.35507239
  0.437522    0.57915321  0.6586329   0.62188162]
[-1.4314036]
[ 0.72546555  0.60358227  0.51241291  0.56613262  0.28610468  0.24226191
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[-1.12649588]
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[-0.6181357]
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[ 0.56554141]
[ 0.417463    0.39720678  0.6662397   0.60737118  0.5035872   0.56053872
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[ 0.99995622]
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[ 1.33487036]
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[ 0.57174862]
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[ 0.37504978]
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[ 0.7024786   0.65870122  0.50603198  0.40176575  0.27997017  0.21801571
  0.43202142  0.74297122  0.59508587  0.3489141 ]
[ 1.86630242]
[ 0.46301232  0.69881581  0.36728486  0.68615836  0.40640292  0.51294571
  0.47326533  0.56810036  0.57051383  0.43622937]
[-0.63540727]
[ 0.64373177  0.71243715  0.47959366  0.40988251  0.41428633  0.43972415
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[ 0.21127612]
[ 0.36769506  0.43858068  0.60753261  0.57284792  0.4447987   0.73580651
  0.41498852  0.45003806  0.40782394  0.61441078]
Progress: 10.0% ... Training loss: 0.610 ... Validation loss: 1.098[ 0.58706855]
[ 0.53309321  0.49037453  0.55049047  0.45520353  0.45155686  0.54432531
  0.53711924  0.6055757   0.42366828  0.47935717]
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[ 0.01443594]
[ 0.3055836   0.44224763  0.64768863  0.39210642  0.549357    0.66264253
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[ 0.24250068]
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[ 0.50597893]
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[ 0.86588711]
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[ 1.31232224]
[ 0.8081108   0.50755191  0.62839247  0.29422954  0.49991382  0.19103206
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[ 0.01443594]
[ 0.3055836   0.44224763  0.64768863  0.39210642  0.549357    0.66264253
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[ 0.53386516  0.69436807  0.39623656  0.44430245  0.33530507  0.39992845
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[ 0.6535591]
[ 0.63906634  0.32571553  0.62900361  0.36569822  0.34908451  0.22012298
  0.4613948   0.75457036  0.33745053  0.23556556]
[ 0.28373027]
[ 0.30440826  0.62945199  0.41906646  0.51600258  0.42000952  0.61194864
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[-0.65751765]
[ 0.81680144  0.67025918  0.54579526  0.2246257   0.42788642  0.38012173
  0.60295527  0.71891599  0.50242409  0.41721387]
[-0.31990992]
[ 0.73992119  0.67977459  0.61296972  0.36873264  0.37743559  0.38841001
  0.57150654  0.78154378  0.68733989  0.43308556]
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[ 0.58314034  0.54139845  0.52233462  0.54426596  0.35023559  0.37931371
  0.4217222   0.65875246  0.38698983  0.3158993 ]
[-0.61315026]
[ 0.57099148  0.77170442  0.51102108  0.55402147  0.3925815   0.4972625
  0.4403011   0.5750758   0.54494377  0.5180346 ]
Progress: 10.3% ... Training loss: 0.604 ... Validation loss: 1.043[ 1.87121912]
[ 0.21299455  0.68711794  0.34539213  0.57508127  0.44658712  0.7139992
  0.39317911  0.44997476  0.55921476  0.56127492]
[-0.47393352]
[ 0.55420694  0.773672    0.42126328  0.39739257  0.36708395  0.25978641
  0.52578231  0.6408982   0.6845339   0.55660723]
[-0.09226636]
[ 0.82146533  0.75209653  0.52487732  0.45352886  0.3954039   0.27798506
  0.4898393   0.71519371  0.62064516  0.32435405]
[-1.20381492]
[ 0.5644292   0.67563886  0.40928821  0.59529908  0.36928122  0.22132763
  0.36343408  0.5721412   0.47410513  0.379997  ]
[-0.14438909]
[ 0.33216855  0.68282022  0.43015727  0.6905415   0.45632704  0.78890103
  0.32643773  0.4946516   0.56116356  0.63379773]
[ 1.13156884]
[ 0.62661442  0.61769366  0.50636774  0.52510052  0.49413018  0.41646464
  0.41639806  0.59410241  0.49954902  0.44521489]
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  0.42100517  0.30952466  0.52868321  0.57676644]
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[ 0.6047717]
[ 0.46695586  0.57409101  0.44043626  0.49120339  0.34770499  0.25831772
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[ 0.96476892]
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[ 0.98154275]
[ 0.84969239  0.58207809  0.58839052  0.23111818  0.30542453  0.12912893
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[ 0.44044412]
[ 0.60705201  0.63012496  0.4958239   0.36584972  0.39235482  0.40391763
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[ 1.70565943]
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[ 0.27449499]
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  0.40594411  0.65606002  0.52752937  0.41670108]
[ 1.00579606]
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  0.38501179  0.35081144  0.4865397   0.54560103]
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[ 0.04661201]
[ 0.32162438  0.47478857  0.59011553  0.46997079  0.59763009  0.68376027
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[ 0.71140291]
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[ 0.02235199]
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[ 1.67090148]
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[ 1.56982172]
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[ 0.71441739]
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[ 1.10732399]
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[ 0.34691546]
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[ 1.69414688]
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[ 0.09811924]
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[ 2.20094479]
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[ 0.10100292]
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[ 0.16114153]
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[ 0.80159346]
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[ 0.4758842]
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[ 0.10161639]
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[ 0.04500291]
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[ 0.90528227]
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[ 0.2403656]
[ 0.72985338  0.49512939  0.68586394  0.39456933  0.51269882  0.30286574
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[ 0.12144216]
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[ 0.58478531  0.59503262  0.46672039  0.33192558  0.31049807  0.28144033
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[ 0.59023927  0.33865891  0.63442077  0.3822471   0.4775265   0.34206525
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[ 0.1005981]
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[ 2.48801049]
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[ 0.52902117]
[ 0.29319596  0.47227567  0.59470298  0.581563    0.46821527  0.64465729
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[ 1.04065101]
[ 0.66635636  0.59916393  0.52078947  0.42543958  0.41122935  0.18615611
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[ 0.5503839   0.55903186  0.54081869  0.58779325  0.34321815  0.40395889
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[ 0.14157155]
[ 0.2833355   0.75089891  0.38940788  0.66961002  0.41776279  0.72065194
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[ 0.61737341  0.68743762  0.40867751  0.4002266   0.31364713  0.37252101
  0.46877803  0.64538828  0.59197659  0.39827835]
[-0.27329438]
[ 0.39919828  0.6066701   0.40773362  0.50555724  0.41041363  0.4441487
  0.43051258  0.56921651  0.42822105  0.71501024]
[-0.94427182]
[ 0.57838412  0.67189981  0.45716218  0.47481154  0.32571526  0.46063902
  0.36721157  0.67270481  0.55094654  0.49248067]
[-0.98533025]
[ 0.6122554   0.73160934  0.54396421  0.54030135  0.41769338  0.54698939
  0.54638387  0.5912901   0.67537072  0.51381259]
[-0.36101115]
[ 0.3384323   0.54532053  0.54800406  0.57486767  0.44288453  0.75275872
  0.35810884  0.53739527  0.45573416  0.54963831]
[-0.06331045]
[ 0.32059466  0.60748481  0.48942827  0.57269255  0.54383903  0.63606866
  0.39599358  0.369521    0.48206302  0.63692344]
[ 2.50118312]
[ 0.83360939  0.54763365  0.58847481  0.34665878  0.37228564  0.13580219
  0.62089076  0.80506414  0.52249242  0.23095366]
Progress: 10.6% ... Training loss: 0.607 ... Validation loss: 0.988[-0.54438608]
[ 0.7192432   0.41970885  0.62724523  0.44115517  0.53335131  0.29589279
  0.51040544  0.58039813  0.51311239  0.21824577]
[ 0.01098103]
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  0.39407711  0.32904269  0.45403152  0.55096847]
[ 0.80942797]
[ 0.72218795  0.52579457  0.57557781  0.32881355  0.29320737  0.15606034
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  0.44186602  0.55304143  0.60303884  0.4073391 ]
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[ 0.36903121  0.69439311  0.47907997  0.66655427  0.47253686  0.57255589
  0.47160062  0.47764226  0.60982395  0.56445599]
[ 0.76801986]
[ 0.39175981  0.51963572  0.43272978  0.60076222  0.51807666  0.38756983
  0.45682245  0.53016142  0.47829194  0.53464055]
[-0.14335642]
[ 0.31931813  0.50310214  0.58395085  0.5253899   0.45932103  0.81737606
  0.36028228  0.42402543  0.41613514  0.67657033]
[ 2.19800221]
[ 0.58971191  0.61011183  0.3908472   0.60051836  0.3155599   0.23832334
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[-1.28949503]
[ 0.5888063   0.62139834  0.48999805  0.63059778  0.30661596  0.32220202
  0.42143628  0.56925301  0.57358253  0.3411395 ]
[-0.11170545]
[ 0.36513217  0.62174689  0.40099952  0.55934727  0.43951168  0.53699262
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[ 0.32156935  0.54616054  0.56067016  0.5538683   0.57611484  0.66926392
  0.34970788  0.37233064  0.45695667  0.6186377 ]
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[ 0.51892205  0.60385866  0.52335305  0.52032379  0.55776289  0.55352465
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[ 0.5981488]
[ 0.77504144  0.61432922  0.54714378  0.33095258  0.28929647  0.11450542
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[ 0.48250734]
[ 0.88511719  0.60715816  0.63809517  0.29038788  0.35589334  0.20001285
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[-0.56917542]
[ 0.4320844   0.53277386  0.52736772  0.59994468  0.46641529  0.54777543
  0.37507149  0.41757837  0.44668314  0.47341337]
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[-0.59165722]
[ 0.41548223  0.45575471  0.53305251  0.34803561  0.47785399  0.59970051
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[ 1.36159291]
[ 0.70739791  0.5815075   0.52884134  0.39415807  0.29364194  0.22545332
  0.40366359  0.61726827  0.52059874  0.29791141]
[ 0.56377121]
[ 0.18282853  0.42461997  0.5313041   0.61181312  0.51878193  0.72076991
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[-0.07937818]
[ 0.30555741  0.68043998  0.440526    0.54441394  0.55453727  0.74018611
  0.34017578  0.38834108  0.4322616   0.76061682]
[ 1.28448502]
[ 0.66786866  0.47980668  0.55386441  0.42452141  0.28677446  0.151768
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[-0.90704123]
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[ 0.26410243]
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[ 0.66042934  0.73282994  0.4342348   0.49640635  0.29584696  0.23748772
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[ 0.1436411]
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[ 0.51213395  0.63260046  0.51643937  0.51201576  0.37146383  0.59819665
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[ 0.38068206  0.72121355  0.39923902  0.61162456  0.49794075  0.66073187
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[ 0.0590814]
[ 0.26325192  0.65284177  0.41614376  0.66077651  0.45467868  0.75686272
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[ 0.11105729]
[ 0.77714674  0.53211562  0.55559681  0.39704355  0.51980754  0.19169114
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[ 0.31317264]
[ 0.3305688   0.5744317   0.43924262  0.55367475  0.52594408  0.58668512
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[ 0.01673527]
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[ 1.19438972]
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[ 0.41169004]
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[ 0.83098608]
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[ 1.47649119]
[ 0.60987358  0.65393206  0.44332123  0.52618856  0.23740608  0.26501478
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[ 0.11229164]
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[ 1.55335975]
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[ 0.16849914]
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[ 1.17768339]
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[ 0.5758305]
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[ 2.51534176]
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[ 1.13467282]
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[ 0.60221354]
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[ 1.26214786]
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[ 0.72506113]
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[ 0.02286319]
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[ 0.37276481]
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[ 0.36903255]
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[ 1.30148839]
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[ 0.40791357]
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[ 0.95034187]
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[ 0.54761889]
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[ 0.24505967]
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[ 0.55934006]
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[ 0.79542457]
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[ 0.31512303]
[ 0.38545209  0.60714427  0.44975599  0.40511097  0.46912789  0.62796709
  0.4951319   0.49806766  0.47815618  0.55659618]
[ 0.47275027]
[ 0.62034251  0.46526799  0.64701345  0.46950258  0.58111167  0.45728037
  0.47614481  0.54729477  0.445678    0.41071017]
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[ 0.64531042  0.76775669  0.51909534  0.49669201  0.40256883  0.41585379
  0.49931736  0.65971029  0.5672762   0.47217269]
[ 0.79523149]
[ 0.75259842  0.77965391  0.51375269  0.48216044  0.3521245   0.36446916
  0.54768785  0.7315786   0.66143415  0.5225769 ]
[ 0.15996814]
[ 0.20289487  0.6466933   0.36964653  0.75355942  0.49237406  0.86843727
  0.40714767  0.40160631  0.38646349  0.72289587]
[-0.07723182]
[ 0.65594529  0.43566183  0.55183177  0.46567413  0.3362258   0.33052209
  0.52919709  0.78758536  0.38967471  0.24927708]
Progress: 10.9% ... Training loss: 0.600 ... Validation loss: 1.044[ 0.13860395]
[ 0.51536778  0.58846728  0.6232954   0.36004739  0.52405614  0.56706242
  0.38447731  0.46765431  0.38896992  0.58391153]
[-0.39223925]
[ 0.39177071  0.46940223  0.44090462  0.55747906  0.38896227  0.34025209
  0.38493857  0.55788023  0.48367092  0.36507794]
[ 0.27174521]
[ 0.13686999  0.38177501  0.46509169  0.71428672  0.533821    0.7860139
  0.27252149  0.2968389   0.38033355  0.65755846]
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  0.30506575  0.44027259  0.40915162  0.74815126]
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[ 0.00456741]
[ 0.5550801   0.410403    0.62516988  0.390266    0.40501141  0.4274546
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  0.36168371  0.62319884  0.54483408  0.3496783 ]
[ 1.36663422]
[ 0.20901371  0.79111294  0.3699849   0.72795769  0.43817     0.76464924
  0.37297275  0.45106859  0.45195635  0.78834253]
[ 0.24331573]
[ 0.53470753  0.53361427  0.53033493  0.61666687  0.46728787  0.34452975
  0.5046553   0.61871608  0.53762871  0.3317375 ]
[-0.20470599]
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  0.45329984  0.4424944   0.36171184  0.4911376 ]
[-0.41268518]
[ 0.38782992  0.55124073  0.42623404  0.42190818  0.5286285   0.64327331
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[ 0.71602388]
[ 0.75636215  0.2786263   0.694962    0.27644974  0.45252561  0.25534259
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[ 0.67391543]
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[ 1.21154162]
[ 0.54438988  0.6159729   0.40231764  0.61544205  0.28397203  0.1968138
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[ 1.96239507]
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[ 1.62425951]
[ 0.31227012  0.62943953  0.38172797  0.62106006  0.44884895  0.55229626
  0.51432014  0.50867066  0.52614617  0.51506944]
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[ 2.43153326]
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[ 0.17683536]
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[ 0.18876506]
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[ 0.02888692]
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[ 0.21495971]
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[ 1.93827738]
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[ 0.37314772]
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[ 0.08373718]
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[ 0.07726132]
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[ 0.94350137]
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[ 0.42837693  0.2535156   0.73089275  0.35011701  0.54923619  0.64178822
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[ 0.37371835  0.69742016  0.41062783  0.62455799  0.45136663  0.70844895
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[ 0.00154429]
[ 0.32142671  0.36524405  0.60765735  0.39057033  0.52613491  0.62121205
  0.44562178  0.30408464  0.31970276  0.60197366]
[ 0.80679516]
[ 0.870493    0.51953127  0.57032937  0.30771969  0.23486866  0.13531211
  0.51350006  0.78696714  0.56325542  0.16589222]
Progress: 11.1% ... Training loss: 0.608 ... Validation loss: 1.105[ 0.6426833]
[ 0.44862057  0.42780939  0.47342562  0.43315546  0.31743526  0.47624024
  0.40894549  0.58801312  0.42112577  0.38689178]
[ 0.05978818]
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[ 0.48850654]
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[ 0.18720242]
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[ 0.69945659]
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[ 0.34299257]
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[ 0.11078252]
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[ 0.94069093]
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  0.48953791  0.77397279  0.49020113  0.33483303]
[-0.54653948]
[ 0.49044795  0.73465809  0.37599009  0.72496028  0.26519644  0.3568019
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[-0.12592529]
[ 0.26220001  0.59664068  0.35794052  0.69677119  0.4333703   0.71756937
  0.35127269  0.51728989  0.56315311  0.46946659]
[-1.29377209]
[ 0.81149254  0.63540105  0.55635481  0.324679    0.38232656  0.11985212
  0.44947469  0.74545488  0.58492399  0.35073927]
[ 1.46798625]
[ 0.34581392  0.63479273  0.40393045  0.53032278  0.48671509  0.515273
  0.5430188   0.50284955  0.52360136  0.51520878]
[ 1.54873817]
[ 0.65069247  0.62013297  0.55428016  0.52179074  0.44390058  0.33795507
  0.4121755   0.64049538  0.66927048  0.34536704]
[-0.45588113]
[ 0.37965764  0.5466266   0.5595202   0.49947069  0.41537341  0.54217422
  0.42754338  0.38516766  0.4713017   0.44326829]
Progress: 11.4% ... Training loss: 0.598 ... Validation loss: 0.980[-0.41447796]
[ 0.31993485  0.32225757  0.68814919  0.4397331   0.58197929  0.60778543
  0.36319676  0.28692975  0.23016286  0.48253743]
[ 0.04509379]
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[-0.38036362]
[ 0.33973337  0.60252342  0.42769533  0.69505604  0.37208369  0.55710154
  0.56943766  0.56401638  0.5545078   0.39272877]
[ 0.53179697]
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[ 0.08013003]
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[ 0.29169954]
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  0.32269487  0.34709647  0.46440709  0.72608276]
[ 0.71437091]
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[-0.69319762]
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[ 0.79088857]
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[-0.26379726]
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[ 0.22984559]
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[ 0.0761525]
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[ 0.60967311]
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[ 0.62963541]
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[-1.19333385]
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[-0.52681043]
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  0.3939257   0.6467542   0.58111291  0.5418455 ]
[ 0.10369085]
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[ 0.35537632]
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  0.30529979  0.45434341  0.43633589  0.47548121]
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[ 2.04671638]
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[ 0.05135919]
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[ 0.71565158]
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[ 0.07650005]
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[ 0.31129353]
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[ 0.0967584]
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[ 1.10635372]
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[ 1.25854323]
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[ 0.48447864]
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[ 0.76164123]
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[ 1.78962914]
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[ 0.39831214]
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[ 0.30658121]
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[ 0.0834455]
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[ 1.98349575]
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[ 0.09324203]
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[ 0.22958669]
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[ 0.11153537]
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[ 0.20232792]
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[ 0.05020619]
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[ 0.20895109]
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[ 0.93195472]
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[ 0.15299956]
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[ 0.91954795]
[ 0.60458389  0.75051459  0.47892622  0.69545376  0.41639385  0.41320243
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[ 0.68737284]
[ 0.42420615  0.48928241  0.56693033  0.45103341  0.53769559  0.54261287
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[ 0.64987864  0.63023404  0.43380356  0.48337697  0.24853928  0.36099409
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[ 0.48121381  0.43737913  0.618422    0.50874496  0.47423451  0.58915654
  0.37743261  0.58753528  0.51635021  0.45011131]
Progress: 11.7% ... Training loss: 0.592 ... Validation loss: 1.040[ 0.33622513]
[ 0.42963202  0.5515265   0.44848352  0.34377829  0.47082883  0.49846413
  0.3928119   0.48721706  0.44947404  0.42827071]
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[ 1.16434248]
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[ 0.12848967]
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[ 0.25210453]
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[ 1.42822097]
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[ 0.12901525]
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[ 1.01000355]
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[ 0.04409312]
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[ 0.65259363]
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[ 0.32722224]
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[ 1.82577168]
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[ 0.45526529]
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[ 1.01842328]
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[ 1.45609064]
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[ 0.88730011]
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[ 0.39178502]
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[ 2.30039203]
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[ 2.38294435]
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[ 0.06398868]
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[ 1.25687545]
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[ 0.29951728]
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[ 2.10762861]
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[ 0.68002642]
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[ 0.28291627]
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[ 0.35934975]
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[ 1.1554515]
[ 0.58908663  0.75268799  0.39075411  0.69278173  0.23581761  0.28082415
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[ 0.06233585]
[ 0.32356258  0.38999989  0.61606739  0.38743619  0.57773721  0.61617909
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[ 0.00548845]
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[ 0.63265763]
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[ 0.37269942]
[ 0.25600827  0.62347091  0.38568889  0.39275804  0.46961475  0.62760025
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[ 0.02968703]
[ 0.3725442   0.55452747  0.4283639   0.64566455  0.43068529  0.69614529
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[ 1.70543217]
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[ 0.23809489]
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[ 2.58281946]
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  0.41637185  0.55089584  0.47573989  0.23359295]
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[ 0.22060302]
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[ 1.16179572]
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[ 0.07748761]
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[ 0.18806262]
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[ 0.78077471]
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[ 0.47588915  0.37637578  0.56243653  0.23301683  0.50623773  0.44227606
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[ 1.07143284]
[ 0.60439086  0.50767938  0.53883906  0.42881262  0.34240568  0.18460932
  0.34751224  0.67872248  0.4160911   0.27840211]
[ 1.01542121]
[ 0.43353943  0.69827373  0.47406461  0.60745963  0.40657387  0.61708369
  0.47832536  0.57603915  0.47074393  0.50443129]
[ 2.09969495]
[ 0.22837244  0.62596454  0.3381329   0.67352322  0.4993964   0.70126099
  0.39513822  0.48268893  0.61567987  0.62387084]
[-0.56420093]
[ 0.37460785  0.32626782  0.59321025  0.53943626  0.38393903  0.57056484
  0.44243806  0.48603061  0.42808561  0.33923392]
Progress: 12.0% ... Training loss: 0.590 ... Validation loss: 1.033[-0.02042478]
[ 0.79262033  0.43951609  0.65423133  0.34894037  0.48125281  0.25811689
  0.43803108  0.72529414  0.37678097  0.35723314]
[ 0.95642845]
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  0.5060503   0.65010456  0.6936201   0.54590206]
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[ 0.73568868]
[ 0.6182972   0.41312222  0.60465648  0.2741929   0.4694182   0.49789767
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[ 0.32918662]
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  0.46026346  0.37182708  0.2998165   0.53281786]
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[ 0.00245531]
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  0.35797726  0.35015617  0.4964873   0.56178988]
[ 2.70688842]
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  0.45041927  0.75765079  0.54562053  0.30450529]
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[-0.06225852]
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[ 0.01026742]
[ 0.71904731  0.60838678  0.4922823   0.47140445  0.42718704  0.48928023
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[-0.03105843]
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[ 0.28872637]
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[ 0.05012258]
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  0.57330604  0.73107597  0.53908049  0.32588899]
[ 0.95492092]
[ 0.57397169  0.45446176  0.63840548  0.32171999  0.54827655  0.39135858
  0.39315341  0.60173248  0.50829336  0.46759599]
[-1.24311224]
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[-0.21874661]
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[-0.65980197]
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[ 0.89120738]
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[ 1.13058291]
[ 0.42396328  0.73463222  0.40916932  0.65406374  0.33949235  0.70304634
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[ 0.25027933]
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[-0.32088939]
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[ 0.25129702]
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[-1.35137765]
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[ 1.15243073]
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[ 0.65861157]
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[ 1.33676632]
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[ 1.16965726]
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[ 0.78862174]
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[ 0.37381603]
[ 0.177925    0.34138469  0.53148289  0.63979345  0.50625745  0.68833042
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[ 0.0388484]
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[ 0.42525062]
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[ 0.82297922]
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[ 1.05632592]
[ 0.89486945  0.44496786  0.71421218  0.12963296  0.42814115  0.20697385
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[ 1.35582164]
[ 0.48825282  0.57470897  0.50016641  0.54186603  0.43568635  0.58825389
  0.4244628   0.69343527  0.54063109  0.43870231]
[ 2.15201111]
[ 0.4312867   0.76547167  0.38674979  0.61754709  0.27857538  0.4523273
  0.36632429  0.58034044  0.49226627  0.53315843]
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[ 2.51664218]
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[ 0.65802151]
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[ 0.50708213]
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[ 0.19991217]
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[ 0.16608915]
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[ 0.51128781]
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[ 1.98878374]
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[ 0.08174446]
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[ 0.57653138  0.68369499  0.41981335  0.44406582  0.39681658  0.33017329
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[-1.09689712]
[ 0.53929226  0.77285298  0.34674922  0.63214393  0.21096378  0.34395411
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[ 1.66543505]
[ 0.65574811  0.7490771   0.53818433  0.42359377  0.39937344  0.34026585
  0.47418996  0.68530345  0.57530885  0.44149212]
[ 1.12518788]
[ 0.86290871  0.63018393  0.61487689  0.21514277  0.36110931  0.33284038
  0.60178753  0.82359044  0.58047585  0.35038711]
Progress: 12.3% ... Training loss: 0.586 ... Validation loss: 0.973[-0.15066972]
[ 0.55144048  0.63239719  0.40879448  0.66340123  0.29060526  0.17804756
  0.47688564  0.6375303   0.64107665  0.48722566]
[ 0.10496244]
[ 0.29029653  0.578499    0.44070757  0.55392549  0.47665808  0.71530726
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[ 0.03519714]
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[ 1.51436708]
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[ 0.42132882]
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[ 1.49573118]
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[ 1.60878019]
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[ 0.43854065]
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  0.59098535  0.61961179  0.45186997  0.36027808]
[ 0.84779653]
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[ 0.17364082]
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[ 0.0458804]
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[ 0.42394261]
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[-1.32666913]
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  0.42388966  0.58663747  0.61326789  0.36787859]
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[ 0.21488076]
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[ 0.21346695]
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[ 0.74985535]
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[ 0.15990038]
[ 0.40581054  0.50076866  0.50479034  0.50675214  0.55422688  0.62310883
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[ 0.44815736  0.5083641   0.47015346  0.45660676  0.47159279  0.49456256
  0.42017719  0.51507002  0.49433989  0.42428109]
[-0.96937593]
[ 0.48413728  0.73122031  0.42291519  0.56169595  0.37901502  0.36725432
  0.38407851  0.51385551  0.66088492  0.44291559]
[-0.71183733]
[ 0.60918751  0.66899518  0.49488511  0.35902367  0.40623863  0.19872022
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[-1.12840954]
[ 0.68709637  0.72825329  0.50618401  0.4973791   0.48374138  0.47737319
  0.44259427  0.7367204   0.5774274   0.54393972]
Progress: 12.6% ... Training loss: 0.582 ... Validation loss: 1.003[-0.20140711]
[ 0.81269236  0.66479142  0.53533213  0.49342778  0.39089658  0.40152143
  0.40758123  0.76988779  0.64408635  0.35857123]
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[ 0.27013433]
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[ 0.12314947]
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[ 0.95739569]
[ 0.74791712  0.54877454  0.57934947  0.33248462  0.41656629  0.37114432
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[ 0.05639846]
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[ 1.17655454]
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[ 0.22351582]
[ 0.44463293  0.59868582  0.40627229  0.65316725  0.2559091   0.36213311
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[ 1.54547791]
[ 0.76132084  0.53009167  0.5781778   0.23282259  0.39613567  0.26706963
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[ 1.10830802]
[ 0.52190014  0.47081134  0.51130688  0.30164284  0.57037937  0.39387253
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[ 0.5532895   0.69431616  0.45316608  0.54407979  0.30452536  0.41986179
  0.42074397  0.65594387  0.52922937  0.37784796]
[-0.3116188]
[ 0.49049981  0.56744184  0.52259888  0.52263914  0.33420176  0.36641962
  0.39652465  0.63016439  0.46252087  0.34860347]
[-1.46334331]
[ 0.82161926  0.6109972   0.63122221  0.30489759  0.38103166  0.36315828
  0.60013057  0.76119603  0.51979235  0.38152373]
[ 0.2022935]
[ 0.43149261  0.67144612  0.39123188  0.67958944  0.36447211  0.59234965
  0.5109534   0.65173301  0.4721994   0.39606419]
[-0.79248386]
[ 0.5769911   0.73209936  0.39788974  0.59701329  0.4760601   0.57426748
  0.49856693  0.61077412  0.48601048  0.48956618]
Progress: 12.9% ... Training loss: 0.596 ... Validation loss: 1.079[ 0.48246271]
[ 0.73593057  0.60390287  0.60383633  0.34527625  0.5282757   0.29586183
  0.49059725  0.64214153  0.55862178  0.38351304]
[-0.5928679]
[ 0.51219433  0.72936286  0.4775411   0.41187074  0.37949738  0.36508037
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[-1.08499896]
[ 0.56853447  0.55121511  0.48202704  0.53279585  0.42895663  0.3127322
  0.45928914  0.60400371  0.3490088   0.33442551]
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[ 0.54055998  0.45865211  0.60239669  0.32459265  0.51075798  0.43595068
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[ 0.53653604]
[ 0.45634115  0.67141622  0.36212082  0.42778315  0.35134827  0.57773238
  0.4280323   0.47811331  0.63691879  0.50067214]
[ 1.75574352]
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[-0.6419672]
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[ 0.19919567]
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  0.55665694  0.60420258  0.59128406  0.4648296 ]
[ 0.57658319]
[ 0.545315    0.62480132  0.45056166  0.65108742  0.22709139  0.31656202
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[ 0.85939733]
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[ 0.16205508]
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[ 0.59732825]
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  0.42900412  0.31760804  0.48152271  0.56729299]
[ 0.88313243]
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  0.56088433  0.76978085  0.48788762  0.25173011]
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[ 1.14700883]
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[ 0.67419973]
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[ 0.71485443]
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  0.57591189  0.81276127  0.54274501  0.22757055]
[ 0.26453407]
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[ 0.7855922]
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[ 0.77070375]
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[ 0.00354651]
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[ 2.59962928]
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[ 1.47780757]
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[ 0.17984422]
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[ 0.25952292]
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[ 1.00936953]
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[ 0.65467934]
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[ 2.73670878]
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[ 0.90237944]
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[ 2.92215768]
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[ 1.15021056]
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[ 1.35016149]
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[ 1.38862409]
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[ 0.39009714]
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[ 0.20083824]
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[ 0.01924539]
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[ 0.16911164]
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[ 0.02209411]
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[ 0.13905551]
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[ 1.51101894]
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[ 0.1520258]
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[ 0.24982816]
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[ 0.98607604]
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[ 0.26306253]
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[ 0.46820937]
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[ 0.98881841]
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[ 0.00642931]
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[ 0.46704382]
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[ 1.1419439]
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[ 0.28873566]
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[ 0.29583668]
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[ 0.62111987]
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[ 0.39578931]
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[ 0.42765724]
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[ 0.31502238]
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[ 0.09471625]
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[ 0.31301326]
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[ 0.32397027  0.64301566  0.48738542  0.71618067  0.38671974  0.70280248
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[ 1.56231313]
[ 0.58005525  0.46586966  0.6011797   0.348183    0.43789343  0.43112845
  0.38053767  0.52593416  0.38452259  0.41971584]
[ 0.00722249]
[ 0.4327996   0.50130341  0.54913151  0.3549063   0.46800512  0.59431875
  0.46937262  0.43415315  0.5594697   0.46625519]
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[ 0.49086177  0.47357877  0.57393321  0.44503935  0.46367503  0.53452357
  0.40517389  0.55433492  0.48339348  0.4911442 ]
[ 1.39778563]
[ 0.67511005  0.69357303  0.4707536   0.43793066  0.29651006  0.32819461
  0.56091994  0.76419501  0.58366502  0.29141917]
[-0.08674182]
[ 0.43837479  0.45600438  0.61409462  0.29065027  0.53469134  0.6058683
  0.45097242  0.37603783  0.30695928  0.57674026]
[ 0.38321606]
[ 0.77519981  0.65605421  0.59015831  0.47071507  0.38959444  0.29081862
  0.46549867  0.80930061  0.6858809   0.33472586]
[-0.3786027]
[ 0.82834213  0.68917359  0.52684532  0.30234784  0.26555652  0.17219077
  0.55719158  0.72607767  0.63223659  0.36418139]
[-0.36470855]
[ 0.51348173  0.22125093  0.70642001  0.36850929  0.59565965  0.35941444
  0.46353484  0.40156605  0.23627749  0.35639716]
Progress: 13.1% ... Training loss: 0.575 ... Validation loss: 0.961[ 1.49800597]
[ 0.6875833   0.66397716  0.55732744  0.54231477  0.38581906  0.42389937
  0.4704137   0.77156246  0.53325514  0.43576398]
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[ 0.49471619  0.26008003  0.66790131  0.55069232  0.382505    0.53945923
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[ 0.71755614  0.58937292  0.60118335  0.31185126  0.45185028  0.47373905
  0.5589508   0.71349274  0.6522432   0.42130617]
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[ 0.53496638  0.6475834   0.51768701  0.51330566  0.60776413  0.64002858
  0.36151831  0.56807556  0.42109082  0.66681393]
[-0.17104505]
[ 0.33350825  0.54422487  0.55879168  0.50016526  0.50576235  0.65166687
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[ 0.33337427  0.3794887   0.60346741  0.47811851  0.48858401  0.58984489
  0.40146482  0.46951242  0.37524703  0.4787829 ]
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[ 0.62017435  0.58832517  0.49860994  0.4126891   0.33174819  0.27181311
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[ 0.29687905  0.40591841  0.48350012  0.64903101  0.44520556  0.60661332
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[ 0.71537569  0.42577987  0.62623759  0.34113115  0.51177672  0.25329727
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[ 0.46718578]
[ 0.63154162  0.71413723  0.49791385  0.47671899  0.30837351  0.273179
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[ 0.3974459]
[ 0.60579171  0.43990454  0.5330988   0.46888076  0.41331584  0.3387688
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[ 0.27449597]
[ 0.55723124  0.57585553  0.53098914  0.52446091  0.37524109  0.33090777
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[ 0.30050616  0.71109679  0.40951601  0.68624542  0.39823182  0.69179057
  0.39243823  0.53254584  0.46731437  0.69886927]
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[-0.01419721]
[ 0.35990292  0.66474694  0.43264233  0.41126065  0.49845324  0.70267169
  0.40953883  0.37551025  0.44047725  0.68235101]
[ 0.77115049]
[ 0.63853533  0.53807108  0.63708204  0.4409384   0.55920133  0.39651232
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[ 0.48067106  0.71733539  0.41669069  0.59942348  0.34252073  0.36557298
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[ 1.20309474]
[ 0.65287889  0.46798444  0.6152413   0.2559402   0.5326512   0.36706635
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[-0.16694793]
[ 0.7503906   0.76711842  0.39934689  0.494727    0.29312184  0.13749426
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[ 0.15916161]
[ 0.16675945  0.38670081  0.63077039  0.5341448   0.60973781  0.80327726
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[ 0.20074706]
[ 0.78719134  0.57203246  0.54470617  0.41477091  0.27793001  0.19279314
  0.47745738  0.66868256  0.52942569  0.35020471]
[ 1.4162982]
[ 0.31186037  0.70708772  0.42152571  0.65559394  0.4715599   0.76717382
  0.35774072  0.5287325   0.56258466  0.63604065]
[ 0.56014718]
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[-0.49494038]
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[ 1.07396924]
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[ 0.19294736]
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[ 0.07635908]
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[ 0.5672531   0.68017247  0.34983852  0.74759426  0.4331276   0.35343705
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[ 0.07754364]
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[ 2.25816245]
[ 0.74781463  0.55750304  0.56716045  0.38668817  0.33021043  0.26478551
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[ 0.27465512  0.39017674  0.54098102  0.53395628  0.48138231  0.74815357
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[ 0.04748749]
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[ 0.85348855]
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[ 1.63407692]
[ 0.77949009  0.53903761  0.56734163  0.25070442  0.26851981  0.13892965
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[ 0.5510272   0.2507931   0.69573905  0.39624744  0.50669112  0.35192506
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[-0.76106831]
[ 0.42745022  0.68271944  0.34262689  0.6800522   0.39781027  0.56833562
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[ 3.01502212]
[ 0.7998329   0.51460945  0.55957093  0.27659769  0.30984853  0.1406706
  0.50968064  0.71935184  0.47515426  0.20677781]
Progress: 13.4% ... Training loss: 0.574 ... Validation loss: 0.995[-0.92856689]
[ 0.71004236  0.70449365  0.43728276  0.52501211  0.23704331  0.19526181
  0.45177276  0.62264911  0.65592006  0.25526072]
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[ 0.00866144]
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[ 0.24223188]
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[ 0.53855477]
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[ 1.72653727]
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[ 1.10103651]
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[ 0.00655344]
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[ 1.00287403]
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[ 0.27924878]
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[ 0.71359456]
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[ 0.25863269]
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[ 0.63218127]
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[ 0.07071863]
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[ 0.585203]
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[ 1.09855277]
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[ 0.27057159]
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[ 0.00044793]
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[ 2.1697546]
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[ 0.56860344]
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[ 0.07436293]
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[ 2.48683034]
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[ 0.05110322]
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[ 0.69182709]
[ 0.56990235  0.39733286  0.66453772  0.34757591  0.51277866  0.40433786
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[ 0.80610819]
[ 0.60901937  0.3918161   0.62113068  0.24689256  0.49907528  0.50371655
  0.46783301  0.64337992  0.37948131  0.38540777]
[-0.56784905]
[ 0.48221968  0.73504976  0.37376128  0.72674229  0.26766339  0.3712631
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[ 0.15176921]
[ 0.47029667  0.60344323  0.48151849  0.28016209  0.47511132  0.40679935
  0.40114132  0.45109243  0.50001793  0.40162317]
Progress: 13.7% ... Training loss: 0.570 ... Validation loss: 0.948[-0.53910077]
[ 0.80575136  0.70502885  0.45937659  0.39152519  0.19686247  0.20224282
  0.47115985  0.70105615  0.57963841  0.2761013 ]
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[ 0.01804477]
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[ 0.30898671]
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[ 0.12695927]
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  0.4172477   0.55566632  0.51319246  0.58704303]
[ 0.25223566]
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[-0.43347236]
[ 0.48661445  0.73089536  0.4619829   0.69258661  0.56186216  0.51307702
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[ 0.01074721]
[ 0.30443209  0.66180678  0.35080566  0.52800354  0.44339169  0.73961249
  0.46353027  0.48545935  0.40565048  0.52238851]
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[ 0.81036523  0.57122051  0.54495025  0.27649221  0.39880163  0.39549395
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[ 0.26856106]
[ 0.42323493  0.64013796  0.36867741  0.70854488  0.32416645  0.41066712
  0.42876744  0.48326613  0.53396849  0.40681814]
[ 0.24307042]
[ 0.47886422  0.57989227  0.40574447  0.5993699   0.24623579  0.38158964
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[ 0.67187179  0.51211634  0.48187676  0.33059888  0.46509062  0.45953146
  0.51113764  0.63028001  0.36529548  0.39969259]
[ 0.20596043]
[ 0.35624733  0.50341792  0.63652809  0.46152335  0.5926368   0.67717534
  0.3883103   0.49032581  0.33222465  0.63130669]
[-0.20031662]
[ 0.405907    0.39041325  0.65843398  0.38835238  0.48800138  0.67451396
  0.44284125  0.42976809  0.45069169  0.53435935]
[-0.04683606]
[ 0.42026694  0.54845037  0.44573054  0.58325602  0.37470404  0.3446516
  0.44448647  0.50458566  0.54119803  0.41194831]
[-0.15833835]
[ 0.43463325  0.69624034  0.39849722  0.71396051  0.36756613  0.6285643
  0.44045008  0.54345042  0.55176084  0.55113348]
[-0.51911831]
[ 0.480526    0.6362411   0.49580418  0.44874197  0.48348799  0.5781889
  0.42065129  0.57589405  0.399206    0.54366179]
[-0.47402966]
[ 0.53606417  0.46957479  0.52810792  0.32002575  0.47155706  0.46082412
  0.45635206  0.50707886  0.38404379  0.40245018]
[-0.67596642]
[ 0.52067803  0.7528739   0.42162497  0.66981144  0.49934743  0.49005702
  0.28533057  0.63047299  0.50683435  0.68826529]
[-0.03457915]
[ 0.64339451  0.71846338  0.50197652  0.46384766  0.43712131  0.37575269
  0.49624918  0.67373689  0.58919023  0.4531102 ]
Progress: 14.0% ... Training loss: 0.569 ... Validation loss: 0.938[-0.08757672]
[ 0.69780574  0.64242929  0.47926197  0.50885625  0.21927421  0.29530104
  0.4834261   0.66750173  0.60656158  0.34371128]
[ 0.14710921]
[ 0.71965659  0.64053825  0.51087646  0.4700669   0.39633029  0.42973301
  0.58500178  0.67661626  0.49282508  0.50691449]
[ 0.11435198]
[ 0.55056042  0.67529869  0.54781489  0.65351379  0.44819292  0.51713381
  0.42286523  0.549971    0.55076044  0.56162996]
[-0.91691094]
[ 0.59597149  0.60689436  0.47084319  0.53855133  0.4119217   0.3249724
  0.38148061  0.68933586  0.52921102  0.52841365]
[ 0.87415226]
[ 0.55602283  0.54193544  0.55097149  0.29760791  0.46719299  0.55354029
  0.45463907  0.63413444  0.47514944  0.4630469 ]
[ 1.99382537]
[ 0.78842105  0.6394753   0.54585089  0.43372697  0.44630501  0.26719575
  0.52553529  0.74936701  0.58355749  0.28740377]
[ 0.60272887]
[ 0.4162752   0.49395938  0.5422817   0.42882723  0.49278474  0.63549781
  0.36081961  0.52393042  0.45681803  0.48763001]
[-0.284332]
[ 0.53411781  0.72767053  0.49502225  0.68014347  0.40800238  0.59162001
  0.38817487  0.63358695  0.59670913  0.57669295]
[-1.13687817]
[ 0.6587409   0.70610591  0.46153976  0.54579177  0.30407092  0.41300352
  0.42934301  0.61918544  0.6263362   0.40790764]
[ 0.35228766]
[ 0.64784297  0.23602735  0.66345657  0.20499418  0.48793301  0.41634356
  0.50145059  0.60011429  0.33310708  0.23446397]
[ 0.10387126]
[ 0.72362886  0.75376054  0.52041755  0.53066917  0.40800689  0.30930699
  0.58248897  0.63364998  0.77082965  0.32643922]
[-0.17242672]
[ 0.35157251  0.74823552  0.36057288  0.66098292  0.34361947  0.70180616
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[-0.46330231]
[ 0.66834162  0.56832481  0.53370769  0.39373877  0.38852301  0.2113839
  0.39315647  0.67941065  0.56157132  0.28257081]
[-0.06833543]
[ 0.39762682  0.49869602  0.50112436  0.6403601   0.65022935  0.65585885
  0.47691081  0.4640477   0.43657284  0.44752498]
[-0.28029607]
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  0.49165154  0.7182468   0.60065387  0.46519638]
[-1.04194067]
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  0.34392243  0.61907578  0.62821933  0.47217418]
[-0.20575526]
[ 0.2726574   0.52591297  0.57477444  0.66706678  0.47659813  0.70636915
  0.39172821  0.38298069  0.48272205  0.560619  ]
[-0.37208619]
[ 0.88909491  0.73451681  0.55206291  0.30807518  0.37804529  0.15596257
  0.61556795  0.75665938  0.70721053  0.22174764]
[-0.15752564]
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  0.43121036  0.51524062  0.39523858  0.67706589]
[ 0.68465347]
[ 0.6420384   0.49005866  0.52363343  0.54252371  0.36960362  0.58877395
  0.48322975  0.69769046  0.43535303  0.44626943]
[ 0.97604422]
[ 0.53751962  0.33110238  0.65128559  0.39859257  0.45058765  0.36962512
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[-0.39040368]
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[-0.45868753]
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[-0.44883766]
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  0.43904702  0.59555896  0.4718037   0.59367188]
[-1.52275363]
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[-0.64753768]
[ 0.8105752   0.65534382  0.52880216  0.33401453  0.28662512  0.17739037
  0.55309521  0.76665785  0.64261693  0.32597484]
[ 0.95033102]
[ 0.7813371   0.51245015  0.53946019  0.37641798  0.25964917  0.17760986
  0.46636348  0.69673356  0.48659433  0.34826305]
[ 0.0310252]
[ 0.59442597  0.677721    0.50399756  0.45892605  0.28679075  0.37499548
  0.47081945  0.60088493  0.53509866  0.44862359]
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[ 0.94062431]
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[ 0.18112555]
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[ 0.77128789]
[ 0.4490679   0.41387543  0.53157958  0.61109415  0.55321567  0.46236668
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[ 1.13664992]
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[ 0.64119011  0.53588511  0.69588694  0.30467192  0.49879455  0.53165021
  0.6031713   0.62856578  0.42318222  0.45484944]
[ 2.09952362]
[ 0.39320235  0.43702981  0.57142481  0.58900187  0.4825911   0.55417261
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[ 0.19855372]
[ 0.56624828  0.70710795  0.45838459  0.57426706  0.40130869  0.32268185
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[ 1.1590016]
[ 0.60467814  0.73119914  0.46327249  0.65917606  0.44692698  0.42122687
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[ 0.21548286]
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[ 0.10372438]
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[ 0.27728862]
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[ 2.37383436]
[ 0.53432332  0.62985625  0.36743738  0.50495203  0.34403047  0.31294578
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[ 0.50262495]
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[ 0.08918132]
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[ 2.61395305]
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[ 0.60092716]
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[ 0.24447968]
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[ 0.05632145]
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[ 0.87650927]
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[ 0.12202478]
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[ 0.12187477]
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[ 0.4779673]
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[ 0.22138999]
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[ 0.00657014]
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[ 0.85115774]
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[ 0.18657329]
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[ 2.78195445]
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[ 0.00250473]
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[ 0.18740135]
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[ 0.11903236]
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[ 0.01081572]
[ 0.4089681   0.58722262  0.36919846  0.5509391   0.39896985  0.43027058
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[ 0.5878111   0.62624424  0.47894641  0.65149107  0.49184054  0.42475597
  0.43291519  0.66707717  0.41968766  0.46482103]
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[ 0.69860936  0.63297511  0.53378024  0.5270353   0.46087058  0.30733044
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[ 0.44609695  0.44462853  0.62872246  0.54851744  0.41064258  0.4935519
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[ 0.60722655  0.55184812  0.5159366   0.43783     0.32453819  0.2020534
  0.50602978  0.71552272  0.52044747  0.28960677]
Progress: 14.3% ... Training loss: 0.567 ... Validation loss: 0.986[-0.28368249]
[ 0.74402927  0.56323827  0.62735599  0.33747943  0.33545899  0.23710017
  0.53367092  0.63206694  0.60539887  0.33984579]
[ 0.5186712]
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[ 0.51276326]
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[ 1.88002668]
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  0.49956401  0.66460023  0.55211336  0.4896464 ]
[ 0.26221365]
[ 0.55844646  0.58606904  0.47510074  0.64360842  0.35593386  0.62334597
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[ 0.77431205]
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[ 1.27673727]
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[ 1.72429295]
[ 0.71403317  0.72983019  0.46052798  0.34693835  0.34626084  0.24776763
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[ 1.9656938]
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[ 2.11800227]
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[ 0.35412435]
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[ 0.50814184]
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[ 0.21574564]
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[ 0.17353647]
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[ 0.60563428]
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[ 0.28814627]
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[ 0.2228491]
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[ 0.24656926]
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[ 0.21529031]
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[ 1.82771285]
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[ 0.05259288]
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[ 3.00150013]
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[ 0.12362242]
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[ 0.24794544]
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[ 0.28092039]
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[ 1.18010199]
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[ 0.68933372]
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[ 0.90837754]
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[ 0.77657827]
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[ 2.29265518]
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[ 1.27778316]
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[ 0.07603033]
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[ 0.4503586]
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[ 0.18070997]
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[ 0.6143455]
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[ 0.72004849]
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[ 0.39553159]
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[ 1.83756837]
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[ 1.61915526]
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[ 0.01567567]
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[ 0.14426852]
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[ 0.03606714]
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[ 0.9670146]
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[ 1.05929533]
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[ 0.06940195]
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[ 2.34501672]
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[ 1.89304203]
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[ 0.05377273]
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[ 0.17506982  0.5395291   0.45453817  0.63356398  0.46105082  0.69672232
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[ 0.07304153]
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[ 0.60750622  0.70745799  0.46341256  0.43198226  0.32968725  0.3493237
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[ 0.4639173   0.57168548  0.46150046  0.49850707  0.36827117  0.38633919
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[ 0.195913]
[ 0.57625145  0.64945187  0.43795653  0.5538222   0.40998746  0.2355326
  0.42727257  0.63235633  0.57623039  0.40849086]
[-0.13782064]
[ 0.34863304  0.62329838  0.52653722  0.45249406  0.5138485   0.77124223
  0.37989683  0.48029371  0.56689198  0.72238482]
[-0.96578294]
[ 0.5100862   0.6256853   0.5026416   0.41382206  0.38164783  0.42646048
  0.43169054  0.56200371  0.55418317  0.50264053]
[-0.36401365]
[ 0.51587499  0.59212897  0.43672192  0.56893176  0.42479954  0.41889923
  0.48880165  0.64345267  0.45769038  0.55103864]
Progress: 14.6% ... Training loss: 0.574 ... Validation loss: 0.889[-0.36525893]
[ 0.47075891  0.61063625  0.45165147  0.532519    0.38159019  0.2861123
  0.40548475  0.53476602  0.49529102  0.41594424]
[ 0.03125858]
[ 0.69410288  0.69601621  0.53447458  0.60522827  0.47555834  0.31253171
  0.4889022   0.61350753  0.73204931  0.32412155]
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  0.42934272  0.40555933  0.45814021  0.5131871 ]
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[ 0.28498332  0.4672318   0.56423842  0.38437378  0.63427608  0.54981394
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[ 0.33047826]
[ 0.50641202  0.69510276  0.50299618  0.60843925  0.3520051   0.39131717
  0.41064305  0.55384052  0.68163555  0.47642589]
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[ 0.47815482  0.50049333  0.46818289  0.55507698  0.30396461  0.33802531
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[ 0.45103526  0.41847534  0.61456897  0.36667741  0.54302013  0.61390876
  0.4168939   0.39379138  0.39832251  0.5544466 ]
[-0.17259682]
[ 0.34745965  0.67819131  0.52753465  0.70070606  0.54120124  0.7532415
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[-0.35228051]
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  0.52237476  0.648948    0.41796641  0.44764412]
[-0.83768155]
[ 0.56544028  0.72901172  0.39260558  0.66468357  0.49217599  0.47643797
  0.45047452  0.47468486  0.45777139  0.53807972]
[ 0.76875913]
[ 0.50550457  0.31730084  0.69552416  0.46320037  0.43355366  0.46008802
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[ 1.13512547]
[ 0.67612267  0.55544572  0.57382734  0.47310593  0.37060396  0.2715421
  0.49380552  0.66670049  0.51091581  0.27729163]
[-0.95834837]
[ 0.64423583  0.8326602   0.4939563   0.49211749  0.37184909  0.58378995
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[-0.39683453]
[ 0.37252198  0.4918958   0.60096303  0.49536853  0.45729126  0.60566123
  0.38717742  0.42578768  0.43020233  0.51852035]
[ 0.25646454]
[ 0.55437785  0.39052818  0.58924735  0.28988215  0.54428714  0.44987766
  0.43966532  0.60972637  0.46480614  0.36291551]
[-0.42838109]
[ 0.6774732   0.66161075  0.45626149  0.54273526  0.29708853  0.35748642
  0.47292937  0.74036451  0.58451508  0.44069437]
[ 1.01323948]
[ 0.72419641  0.53504444  0.6148846   0.35335988  0.51344901  0.3238838
  0.59608676  0.65427848  0.4682819   0.44136281]
[ 0.06578738]
[ 0.53888979  0.6879454   0.54271701  0.57014432  0.39795775  0.50030075
  0.57291227  0.64376019  0.57521813  0.53241686]
[ 0.0176606]
[ 0.24108928  0.65297969  0.4116257   0.74185869  0.49353054  0.79218534
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[ 0.13181115]
[ 0.38764778  0.43562298  0.50078966  0.59928952  0.38603992  0.55436815
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[-0.36735229]
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[ 0.36545812  0.61212933  0.36367857  0.6815545   0.49097959  0.64257286
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[-0.95023405]
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[ 0.77080815  0.65965526  0.55420495  0.44042777  0.34724997  0.32346234
  0.48870913  0.76011236  0.56265253  0.3167775 ]
[ 0.52637195]
[ 0.47579693  0.58594526  0.4977533   0.44597571  0.3977869   0.4848243
  0.48420458  0.65212167  0.56363984  0.47004727]
[ 2.82231768]
[ 0.52347473  0.44757027  0.50172989  0.48631188  0.35266164  0.44965466
  0.49290562  0.7374532   0.41500378  0.24063784]
[ 0.33186183]
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[ 0.72381339  0.49968169  0.59506985  0.36329381  0.49260073  0.39149835
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[ 1.99307634]
[ 0.80655053  0.56209217  0.56134159  0.22166828  0.39400223  0.25041097
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[ 0.43557282]
[ 0.73138151  0.7483312   0.45292016  0.38182173  0.2744906   0.19964926
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[ 0.17574045]
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[ 0.52978572]
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[ 0.9239165]
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[ 0.78919139  0.46764388  0.57531757  0.30807505  0.36284395  0.24878874
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[ 0.50690973  0.34676089  0.55047853  0.27046842  0.53376022  0.63760843
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[ 2.89492747]
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[ 0.25701101]
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[ 0.20646463]
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[ 0.76622479]
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[ 1.71530869]
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[ 0.62734982]
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[ 2.01914709]
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[ 0.37307827]
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[ 0.08214253]
[ 0.87678675  0.56242814  0.5629901   0.37150728  0.22457497  0.10422106
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[ 1.11038714]
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[ 0.2240843]
[ 0.26559374  0.46474059  0.49402336  0.62505704  0.4088637   0.63274468
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[ 0.7518088   0.64025247  0.53933911  0.29970506  0.50691546  0.45047549
  0.4979088   0.66324863  0.4713247   0.47291667]
[ 0.82150889]
[ 0.61882417  0.28670795  0.67178501  0.35600159  0.45276634  0.39483442
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[-1.18814178]
[ 0.53342092  0.47730762  0.49828361  0.59358463  0.37378469  0.32986581
  0.48983692  0.52309126  0.49932694  0.25938007]
[-0.11631592]
[ 0.366646    0.66356582  0.43596298  0.40669052  0.49298885  0.69277323
  0.41294658  0.38451851  0.44459018  0.67280828]
[ 0.01527856]
[ 0.7662207   0.74899555  0.56690784  0.50680555  0.40006633  0.269718
  0.52471161  0.7075316   0.67471932  0.47963349]
[-0.36802937]
[ 0.62671792  0.74573207  0.45806911  0.62649313  0.42627469  0.36625754
  0.45202951  0.68029948  0.66620748  0.38690279]
Progress: 14.9% ... Training loss: 0.559 ... Validation loss: 0.909[-0.56046438]
[ 0.46941143  0.18958902  0.7393511   0.30567649  0.55547694  0.53667343
  0.38228458  0.53802401  0.20888911  0.37271335]
[-0.27038256]
[ 0.29695781  0.50035938  0.53565794  0.61264942  0.45632764  0.67806715
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[-1.05295756]
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  0.52785879  0.5971572   0.51439719  0.59282657]
[-0.45535172]
[ 0.54824381  0.55778921  0.65937941  0.33008279  0.55187467  0.46166325
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  0.48014681  0.59749027  0.55719894  0.5212804 ]
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  0.42190198  0.59536923  0.59724691  0.51161394]
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[ 0.05171181]
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  0.36276492  0.29834295  0.47673199  0.39622522]
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  0.44509535  0.65778646  0.48622345  0.39317182]
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  0.4713611   0.64735933  0.53755608  0.62873531]
[-0.34036621]
[ 0.59379796  0.44599106  0.58842239  0.35667331  0.38787112  0.34063236
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[-0.71779697]
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  0.39873547  0.5543      0.62500739  0.46147134]
[ 2.4783486]
[ 0.79638832  0.64732898  0.50397538  0.37433854  0.28728405  0.09692856
  0.46845095  0.81149284  0.53639295  0.28076943]
[ 1.65288697]
[ 0.76448023  0.38897222  0.63417651  0.30969704  0.41966246  0.26571109
  0.5805964   0.77999426  0.34638648  0.24789476]
[ 2.15296811]
[ 0.54859631  0.67921722  0.46381506  0.43560951  0.3566367   0.42157816
  0.50094992  0.69545835  0.51282519  0.52353544]
[ 3.36048375]
[ 0.74162267  0.53071756  0.55818645  0.41220486  0.29533504  0.16587541
  0.49433984  0.73706263  0.44717766  0.21385463]
[-1.34186072]
[ 0.70412044  0.60229303  0.50931264  0.57153749  0.29243771  0.28903493
  0.39079762  0.5282101   0.49984706  0.30747168]
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[ 0.60588144  0.72941682  0.44805504  0.51876357  0.39311277  0.33035575
  0.55143479  0.61524587  0.66901011  0.44995166]
[-0.02152291]
[ 0.4419024   0.68479386  0.5009024   0.63943788  0.42270591  0.59535483
  0.383617    0.53288479  0.56747457  0.52743446]
[ 0.63308463]
[ 0.73701738  0.52984406  0.63910886  0.3200433   0.44070125  0.48709603
  0.56716168  0.704433    0.49870158  0.40855682]
[-0.42788548]
[ 0.28946331  0.50250861  0.54021853  0.47406943  0.41326422  0.60504586
  0.42267966  0.42955923  0.42747391  0.57724322]
[ 0.37691267]
[ 0.62286518  0.36601074  0.66375401  0.27723069  0.47647141  0.43885141
  0.46036099  0.58776247  0.34767606  0.42411257]
[-0.66401567]
[ 0.39093988  0.71352415  0.38167115  0.69172418  0.36933353  0.52927736
  0.51574761  0.59753112  0.61375852  0.53419044]
Progress: 15.1% ... Training loss: 0.557 ... Validation loss: 0.893[-0.01097065]
[ 0.69630325  0.62510063  0.48911208  0.60525972  0.37396642  0.37294461
  0.5409431   0.67866924  0.48085024  0.56049769]
[-0.64964434]
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[ 0.10395888]
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[ 0.06978215]
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  0.38723751  0.46063117  0.38415288  0.44827024]
[ 0.58575843]
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[ 0.3571888]
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[ 2.09975443]
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[ 1.19842429]
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[ 0.92471704]
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[ 0.31830628]
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[ 0.39367968]
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[ 0.27449146]
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[ 0.15605243]
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[ 0.21528925]
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[ 2.11481252]
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[ 0.04035222]
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[ 0.03266701]
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[ 2.34704547]
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[ 0.7539529]
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[ 0.2976008]
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[ 0.2671934]
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[ 0.33465738]
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[ 0.95498118]
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[ 0.28064148]
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[ 0.20473596]
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[ 0.72113489]
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[ 0.46174896]
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[ 0.32099554  0.28559344  0.6899776   0.35280329  0.53596488  0.62999368
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[ 0.36852713  0.5049507   0.53410927  0.4732084   0.50610171  0.72828358
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[ 0.43596899  0.6257436   0.49236465  0.58515337  0.37629667  0.73352853
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[ 0.1637205]
[ 0.25607656  0.55643063  0.40329806  0.74003294  0.46557955  0.72888702
  0.35603078  0.38776609  0.47077597  0.67170562]
Progress: 15.4% ... Training loss: 0.551 ... Validation loss: 0.912[-0.09532796]
[ 0.29894652  0.71142049  0.40815789  0.68721581  0.39967607  0.69330787
  0.39093767  0.52957622  0.46509897  0.7006624 ]
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[ 1.35212229]
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[ 0.40040231]
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[ 0.24462767]
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[ 0.57520018]
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[ 0.07882057]
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[ 1.85240719]
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  0.55115472  0.81736305  0.3163446   0.22922314]
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[ 2.22817763]
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[ 0.0825081]
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[ 0.10545868]
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[ 2.7809574]
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[ 0.0437112]
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[ 0.19474924]
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[ 0.16671127]
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[ 0.27043066]
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[ 1.08885318]
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[ 1.65956881]
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[ 0.06960172]
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[ 1.44986798]
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[ 0.09958047]
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[ 2.29554094]
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[ 1.05425969]
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[ 0.15310276]
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[ 0.05683537]
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[ 2.15636671]
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[ 0.31251103]
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[ 0.06123196]
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[ 1.96648885]
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[ 0.0146509]
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[ 0.67793586]
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[ 1.47205152]
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[ 0.38174649]
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[ 0.92828365]
[ 0.67796907  0.63344766  0.5514385   0.30318716  0.3621906   0.27172665
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[ 1.8065002]
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[ 1.52975041]
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[ 0.01335684]
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[ 0.21523905]
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[ 1.02775473]
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[ 0.54500723]
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[ 2.35292196]
[ 0.80577205  0.73752028  0.47787912  0.31788986  0.25408126  0.12667411
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[ 2.79210092]
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[ 0.11213245]
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[ 0.40740669]
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[ 0.26320244]
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[ 0.43379054]
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[ 0.06515044]
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[ 0.05616182]
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[ 0.53375715  0.432834    0.62709409  0.49122089  0.40922626  0.34226769
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[ 0.40817104]
[ 0.76881616  0.72090547  0.43717957  0.3970057   0.35868647  0.28678958
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[ 0.01335684]
[ 0.25288586  0.63719879  0.44833062  0.62985982  0.47794413  0.77714266
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[ 0.38149534]
[ 0.56694963  0.68002383  0.47142774  0.55334432  0.2320733   0.30837863
  0.4557509   0.73201667  0.53293951  0.39663145]
Progress: 15.7% ... Training loss: 0.550 ... Validation loss: 0.881[-0.59533613]
[ 0.58763394  0.3393533   0.58887399  0.32036172  0.4923456   0.39351862
  0.43478269  0.49041386  0.30175514  0.3304619 ]
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[-1.35462349]
[ 0.75907184  0.63969935  0.49269977  0.53391906  0.32806889  0.4886415
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[ 2.03477686]
[ 0.40356577  0.63373983  0.40861763  0.58110165  0.51239366  0.49794101
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[ 2.65203748]
[ 0.65105512  0.68667641  0.3959096   0.58047377  0.25041528  0.34600445
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[ 0.78602231  0.61291319  0.63370705  0.28935826  0.50683552  0.31400563
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[ 0.19678071]
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[ 0.28910629]
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[ 0.36664084]
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[ 0.52523621]
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[ 0.23933901]
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  0.50739911  0.75225244  0.4540418   0.34596248]
[ 0.26334308]
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[ 0.27897441]
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[ 1.46291563]
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[ 0.03616177]
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[ 0.1715108]
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[ 0.69125072]
[ 0.44298388  0.616352    0.44526659  0.5386985   0.31134828  0.39794783
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[ 2.16799703]
[ 0.87826765  0.4213013   0.65564874  0.15669636  0.35549121  0.09198269
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[ 0.93020203]
[ 0.27219872  0.62622796  0.47999662  0.6783267   0.50531471  0.61976222
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[ 0.10969492]
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[ 2.75841899]
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[ 0.3290711]
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[ 2.36278996]
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[ 0.1985014]
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[ 1.22624221]
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[ 0.0894793]
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[ 1.42519341]
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[ 0.86120005]
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[ 0.2548382]
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[ 2.53665404]
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[ 0.98315616]
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[ 0.63988184]
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[ 1.09349663]
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[ 0.38248352  0.57067447  0.467271    0.71109859  0.66912838  0.67057292
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[ 0.11840822]
[ 0.76523336  0.66260789  0.55346897  0.38685846  0.26735826  0.22472158
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[ 0.47695723  0.7228331   0.42207245  0.59219152  0.28388584  0.45714215
  0.35361936  0.54197143  0.47281286  0.51347484]
Progress: 16.0% ... Training loss: 0.549 ... Validation loss: 0.867[-0.35751178]
[ 0.70055234  0.68777682  0.5029126   0.38475207  0.3448571   0.38510688
  0.56287069  0.74374428  0.52782933  0.44902492]
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[ 0.90587306]
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[ 0.35247898]
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[ 1.3570703]
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[ 0.45637153]
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[ 0.37965374]
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[ 0.25543338]
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  0.3338572   0.54028586  0.63012522  0.73638364]
[ 0.10744816]
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  0.4319538   0.57564911  0.51813387  0.6038412 ]
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[ 1.38047721]
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[ 0.2060393]
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[ 0.01838553]
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[ 1.04217025]
[ 0.40841615  0.58831312  0.53136755  0.44655089  0.52103624  0.66749158
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[ 0.30994239]
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[ 0.61731565  0.82769381  0.47717095  0.63462884  0.37474629  0.60495898
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[ 0.59137946  0.65789059  0.45241865  0.40667825  0.36702462  0.32381501
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[ 0.29839716]
[ 0.76038139  0.5002328   0.65518547  0.39131244  0.46626342  0.27271662
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[ 0.54533192  0.53025649  0.46733184  0.4096823   0.34765799  0.50865581
  0.49234483  0.65082965  0.44009026  0.29365482]
Progress: 16.3% ... Training loss: 0.542 ... Validation loss: 0.909[ 1.30677658]
[ 0.59290828  0.60326064  0.43700698  0.45990389  0.32665838  0.31996824
  0.40382585  0.65909778  0.52044628  0.31380814]
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[ 0.57075411]
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[ 0.24250304]
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[ 0.00769876]
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[ 1.01471484]
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[ 0.02428478]
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[ 1.03614147]
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[ 0.32372925]
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[ 1.25644531]
[ 0.81180995  0.61290063  0.53964452  0.30686827  0.38536578  0.33432053
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[ 0.49160138  0.46503845  0.60011099  0.43319078  0.53087502  0.54388912
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[ 0.61434006  0.60599812  0.56384349  0.42177259  0.39730398  0.42759042
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[ 0.64289632  0.63724849  0.40655705  0.46420188  0.35476798  0.25404092
  0.4141359   0.56070435  0.56520228  0.33950283]
Progress: 16.6% ... Training loss: 0.538 ... Validation loss: 0.877[-0.75270429]
[ 0.73198915  0.5853054   0.57081579  0.44201482  0.46812355  0.34039849
  0.52649721  0.66445654  0.52273689  0.33961231]
[ 1.12684966]
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[ 0.69006866]
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[ 0.38413108]
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[ 0.08250252]
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[ 0.57576156]
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[ 0.09159794]
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[ 0.62767926]
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[ 0.85161151]
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[ 0.00500963]
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[ 0.05265518]
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[ 0.85746854]
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[ 0.86841428]
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[ 0.42364504]
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[ 0.29063638]
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[ 0.31861569]
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[ 0.45033315]
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[ 1.53105051]
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[ 1.05332495]
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[ 0.43948301]
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[ 1.79334552]
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[ 1.40186545]
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[ 1.3250384]
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[ 0.02948196]
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[ 0.28382185]
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[ 0.42822266]
[ 0.73285139  0.6958283   0.4931021   0.35332039  0.32293382  0.17053915
  0.5084681   0.71102192  0.616342    0.41967546]
[ 2.50895441]
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  0.44555612  0.62967141  0.71338418  0.42453803]
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  0.46700533  0.56749284  0.67751137  0.64809454]
[ 1.72206708]
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  0.42258469  0.61471842  0.64301845  0.61000142]
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  0.40982099  0.55744855  0.45536711  0.39563443]
[ 1.08782302]
[ 0.65334584  0.64158093  0.52863062  0.444766    0.32236011  0.2364571
  0.37844396  0.59832654  0.54683001  0.32562608]
[ 0.67099593]
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[ 0.11146347]
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[ 0.28739897]
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[ 0.07432698]
[ 0.2475078   0.42101963  0.64581647  0.5146061   0.50383678  0.7862163
  0.38235021  0.32729457  0.33517083  0.64767351]
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[ 0.31535389  0.47614272  0.47749375  0.49004535  0.4785405   0.72370099
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  0.42971039  0.63633974  0.47853166  0.44428676]
[ 0.611043]
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[ 0.05693908]
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  0.40045817  0.56684502  0.51055715  0.3085823 ]
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[ 0.41982524  0.66636375  0.5472128   0.53184664  0.55814944  0.61346504
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[ 1.35232773]
[ 0.87185681  0.61665025  0.59764751  0.23081694  0.26235154  0.1254549
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[ 0.86377854  0.64783677  0.57976037  0.46127183  0.35363109  0.1484751
  0.60629417  0.8729683   0.59339304  0.4455971 ]
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[ 0.61528004  0.70562917  0.54644808  0.67294203  0.44310003  0.50209359
  0.42229783  0.61382001  0.56338761  0.42193734]
[-0.42367511]
[ 0.51723938  0.45470947  0.56747502  0.50610616  0.42906469  0.54484858
  0.43119118  0.61390203  0.47822979  0.43883423]
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[ 0.48258124  0.50219118  0.48355209  0.63260486  0.44924833  0.65253397
  0.53956723  0.54435885  0.46446784  0.48200344]
[-0.52697793]
[ 0.75585622  0.45531353  0.59800174  0.32356706  0.48670763  0.21906173
  0.51627847  0.72873584  0.32710751  0.39608208]
[ 1.0642562]
[ 0.6730279   0.60782843  0.44383695  0.50966939  0.27735296  0.20628195
  0.50998392  0.54588651  0.66726438  0.21313054]
[ 0.47643079]
[ 0.16800196  0.48103298  0.45329656  0.60992595  0.47625819  0.71156737
  0.35975528  0.30555104  0.45934439  0.6016558 ]
[ 0.10253308]
[ 0.36328191  0.72251959  0.36240241  0.60051956  0.44877423  0.65098656
  0.47755376  0.56320945  0.54759649  0.61398144]
Progress: 16.9% ... Training loss: 0.541 ... Validation loss: 0.923[ 0.39450278]
[ 0.18073783  0.43503438  0.47861647  0.72267606  0.5419707   0.78725329
  0.35113721  0.3378407   0.3598466   0.66173231]
[ 0.06347951]
[ 0.64331242  0.51826227  0.57020685  0.34827599  0.39272896  0.26792074
  0.5242155   0.63402317  0.48635183  0.3852633 ]
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  0.3409244   0.40745133  0.62089505  0.51767225]
[ 0.28130636]
[ 0.30944934  0.56662846  0.36157151  0.61734565  0.50276794  0.65147179
  0.37790198  0.56649647  0.52177458  0.56305749]
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[ 0.61322904  0.81014239  0.3944209   0.67870138  0.36431326  0.44987768
  0.391448    0.72744971  0.67152966  0.50917392]
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  0.49421043  0.52930698  0.53057355  0.36566881]
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[ 0.37262679]
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  0.35024468  0.47055856  0.36863691  0.42616629]
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[ 0.07589677]
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[ 0.2385226]
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[ 0.0839316]
[ 0.51374042  0.41872993  0.55789223  0.57671415  0.52081192  0.48133351
  0.51499647  0.51620301  0.34281749  0.41799264]
[ 1.75574421]
[ 0.62493658  0.66466594  0.54253995  0.59774862  0.41831046  0.48703233
  0.47511549  0.60197262  0.50173553  0.42140309]
[ 2.79530938]
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  0.33398169  0.59634672  0.36871176  0.55129204]
[ 0.03073213]
[ 0.30298937  0.62027837  0.41363166  0.65918965  0.4365847   0.65552251
  0.41512094  0.3752502   0.55003809  0.54132571]
[ 0.44154035]
[ 0.66237922  0.65531832  0.55460069  0.21631327  0.45566897  0.29858348
  0.48573797  0.6640667   0.61043464  0.43751966]
[ 1.73706375]
[ 0.71511187  0.41226814  0.55649163  0.30364742  0.34677975  0.18390272
  0.50089246  0.60801012  0.5000058   0.20341301]
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  0.62678173  0.65016403  0.52773772  0.32080841]
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[ 0.54166171]
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[ 0.38079269]
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[ 0.93707689]
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[ 0.15998547]
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[ 1.44630774]
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[ 0.2241765]
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  0.4505542   0.58104255  0.39689272  0.43169451]
[ 1.278744]
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[ 0.45093175]
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[ 0.08497636]
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[ 0.00325738]
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[ 0.12205127]
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[ 0.26846914]
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[ 0.32065186]
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[ 0.86486831]
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[ 0.85804863]
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[ 1.49076124]
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[ 0.7571417]
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[ 1.25419554]
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[ 0.36587819]
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[ 1.08543891]
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[ 0.27089562]
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[ 0.11547301]
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[ 1.88890225]
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[ 0.53224461  0.58833093  0.46887382  0.60089497  0.28133294  0.39925975
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[ 1.53957723]
[ 0.52689027  0.69372265  0.4370484   0.59207348  0.40559669  0.64777291
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[ 0.23666263]
[ 0.51965617  0.64565867  0.45830559  0.53367644  0.28168389  0.3126972
  0.48635016  0.64228105  0.4923109   0.41248036]
Progress: 17.1% ... Training loss: 0.542 ... Validation loss: 0.840[-0.66711842]
[ 0.50907218  0.52870333  0.54076629  0.42391686  0.44563893  0.44194471
  0.56373703  0.63699911  0.46055692  0.34516029]
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[ 0.07081602]
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[ 0.27281686]
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[ 0.24702986]
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[ 0.14913575]
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[ 0.09550432]
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[ 0.1680014]
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[ 0.13728314]
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[ 1.03843431]
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[ 0.01885512]
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[ 0.01050641]
[ 0.75326874  0.67458847  0.46514312  0.53436502  0.42954172  0.39085095
  0.43453008  0.66656681  0.55619353  0.34716822]
[ 0.33765889]
[ 0.55910857  0.4827986   0.58009337  0.3197864   0.46013919  0.52026998
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[-0.89358327]
[ 0.65599229  0.5934066   0.5367576   0.44499362  0.26434432  0.27669114
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[ 0.29388398]
[ 0.22035856  0.62791879  0.43677643  0.60673746  0.46999347  0.7036382
  0.32591938  0.40691579  0.38064591  0.66895969]
Progress: 17.4% ... Training loss: 0.555 ... Validation loss: 0.962[ 0.24094377]
[ 0.51115659  0.68180161  0.45657659  0.7017277   0.28484949  0.45649433
  0.37439118  0.47372929  0.54499136  0.40427262]
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[ 0.36397573]
[ 0.54034235  0.68125344  0.43818742  0.46170134  0.2768492   0.34014977
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[ 0.93134316]
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[ 0.18777913]
[ 0.37263708  0.327991    0.69312088  0.46545588  0.48609005  0.72559004
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[ 0.86830689]
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[ 0.81630869]
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  0.51257441  0.70159863  0.49491973  0.35450144]
[-0.22710588]
[ 0.81665646  0.44888491  0.6325531   0.33891532  0.3578302   0.2180921
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[ 2.36441735]
[ 0.7019921   0.46502748  0.55890177  0.39921127  0.36033021  0.30018222
  0.47928491  0.70761446  0.48007827  0.23908096]
[-0.68389543]
[ 0.62973193  0.66639338  0.42307258  0.60347703  0.23742503  0.46024907
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[ 2.80872119]
[ 0.55785896  0.65857837  0.40507966  0.50057101  0.35699227  0.36316106
  0.38560216  0.64812717  0.58074716  0.37006502]
[ 0.55922036]
[ 0.52843528  0.62390525  0.38957726  0.47056115  0.28006957  0.40531048
  0.40975993  0.61250197  0.45666008  0.39589791]
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[ 0.69807496  0.71501526  0.45060175  0.40089003  0.31659798  0.28556902
  0.49406723  0.69940007  0.63584767  0.40905985]
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[ 0.7198911   0.65470049  0.51235361  0.47928215  0.28004779  0.25216052
  0.5203542   0.59584352  0.59207717  0.39747618]
[-0.59113933]
[ 0.36428427  0.61305393  0.40340488  0.61441953  0.29147934  0.46506482
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[ 0.03173261]
[ 0.58535971  0.60453546  0.56939995  0.62253972  0.42101521  0.38184868
  0.44704424  0.6291064   0.51649977  0.40107851]
[ 1.1363064]
[ 0.79030321  0.4749581   0.54413941  0.24700645  0.39777087  0.20421824
  0.61299479  0.72027706  0.50935045  0.22093986]
[-0.37606517]
[ 0.43517086  0.63777479  0.54047303  0.49030178  0.39427414  0.56923232
  0.46617298  0.56969647  0.40581454  0.48626845]
[-0.4815229]
[ 0.48725885  0.45075877  0.51004233  0.50231284  0.457976    0.68500054
  0.50205624  0.53706724  0.46879988  0.50085756]
Progress: 17.7% ... Training loss: 0.550 ... Validation loss: 0.823[ 0.62649473]
[ 0.5478407   0.71990716  0.39573348  0.7155525   0.23484745  0.3241769
  0.39895755  0.54777195  0.62987181  0.42509018]
[-0.73041276]
[ 0.51620493  0.69030529  0.47206858  0.57973105  0.35829873  0.556008
  0.44102765  0.51235349  0.6097948   0.55242601]
[-0.3650768]
[ 0.34161037  0.47749402  0.47047092  0.59829482  0.45043349  0.71563761
  0.44120365  0.5133946   0.360235    0.52065422]
[-0.31940233]
[ 0.36897945  0.57113359  0.38038548  0.5964485   0.42037921  0.46912263
  0.39566751  0.57738285  0.45860267  0.46130646]
[-0.77385033]
[ 0.4891608   0.4503461   0.5106724   0.50128281  0.45662116  0.68272075
  0.50294148  0.53912782  0.46980014  0.49913322]
[ 1.21362028]
[ 0.27374165  0.77032467  0.33304366  0.68280874  0.36166565  0.62690741
  0.31882369  0.51867678  0.50122594  0.67215935]
[-0.45415648]
[ 0.46477973  0.641685    0.49242004  0.50131895  0.47806762  0.58177927
  0.47512615  0.6631719   0.66426831  0.66620443]
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[ 0.41277442  0.4774808   0.55036663  0.49556476  0.51469989  0.45172902
  0.4238711   0.41592372  0.5823558   0.39268641]
[-0.19115153]
[ 0.46959167  0.34244554  0.52968791  0.36311113  0.55711263  0.61096675
  0.47958791  0.62594682  0.40885936  0.34444109]
[ 0.28318]
[ 0.21728402  0.70490356  0.41355788  0.6956536   0.49707746  0.77534684
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[ 2.01321345]
[ 0.62263319  0.72873609  0.40941538  0.48370558  0.42003887  0.50377879
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[-1.0127156]
[ 0.56510642  0.73033173  0.36055832  0.6751514   0.29123918  0.42843093
  0.3382151   0.51008314  0.51599001  0.49015223]
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[ 0.53424421  0.59042016  0.54761676  0.61879926  0.42487739  0.49933163
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[ 0.77642115]
[ 0.85148662  0.43940927  0.67019856  0.16224946  0.38831774  0.18397953
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[ 0.0847144]
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  0.49931481  0.56877423  0.48515351  0.47751885]
[ 0.28375714]
[ 0.49133739  0.54103107  0.54586718  0.60219559  0.52852132  0.48588542
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[ 0.15881836]
[ 0.50668033  0.60709878  0.48754045  0.53359564  0.31554165  0.33401942
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[ 0.35545556  0.4199222   0.48236612  0.39755917  0.45161809  0.66841682
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[-0.17740435]
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[ 0.88527074]
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[ 1.16701833]
[ 0.67517312  0.650181    0.46503583  0.44049013  0.3216351   0.16824135
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[ 0.04045616]
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[ 0.06653449]
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[ 1.20751356]
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[ 0.05002732]
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[ 0.33297188]
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[ 0.53688357]
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[ 0.66491705]
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[ 0.19191608]
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[ 0.66930527]
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[ 1.05342515]
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[ 2.10836172]
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[ 0.14796693]
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[ 0.0420303]
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[ 0.08972132]
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[ 0.7273794]
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[ 0.67087673]
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[ 0.06649018]
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[ 1.0881877]
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[ 0.98344983]
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[ 0.47105618]
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[ 0.50677628]
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[ 1.27013183]
[ 0.606622    0.6400488   0.46960692  0.57188458  0.22965928  0.28134428
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[ 0.02949295]
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[ 0.49339936]
[ 0.60365219  0.66652789  0.50179525  0.63899384  0.38347079  0.42828952
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[ 0.30521079]
[ 0.62929571  0.51645921  0.49054891  0.3353208   0.25982972  0.23817313
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[ 0.61900568  0.63334602  0.50611462  0.44450065  0.31378228  0.19821294
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[ 0.74121985  0.80139509  0.42112291  0.49144204  0.20827744  0.24967985
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[ 0.18924597]
[ 0.51759706  0.73617344  0.48220162  0.70441349  0.39926786  0.43870553
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[-0.72196938]
[ 0.69293217  0.73043221  0.54220384  0.57199491  0.49676147  0.38358893
  0.40227598  0.66104651  0.62303082  0.57715378]
Progress: 18.0% ... Training loss: 0.525 ... Validation loss: 0.875[-0.44342201]
[ 0.68441715  0.43096998  0.61657822  0.37634749  0.43153113  0.28571224
  0.42085892  0.62631277  0.50846724  0.33930245]
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[ 1.13520735]
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[ 0.41474189]
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[ 0.43825713]
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  0.58602216  0.78594584  0.55604015  0.26207992]
[ 1.66383339]
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[ 0.1111081]
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[ 0.2465839]
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[ 0.13970986]
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[ 1.10551836]
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  0.43540357  0.62880181  0.53995859  0.43277411]
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[ 0.12116086]
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[ 1.61776979]
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[ 1.20831405]
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[ 2.42903968]
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[ 0.40560025]
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[ 0.09877342]
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[ 0.87055237]
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[ 0.35773313]
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[ 0.16986696]
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[ 1.03466455]
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[ 0.02067202]
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[ 0.14740616]
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[ 0.09843337]
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[ 0.56807243]
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[ 1.0338927]
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[ 0.10816169]
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[ 1.12432889]
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[ 0.2386986]
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[ 0.28667789]
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[ 0.16436655]
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[ 0.10228571]
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[ 0.16571071]
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[ 0.10928872]
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[ 0.30106694]
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[ 0.06911253]
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[ 0.5107347]
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[ 0.48442716]
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[ 0.77456635]
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[ 1.15633032]
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[ 1.06719774]
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[ 0.8914941]
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[ 0.13272326]
[ 0.70774184  0.71295081  0.58021316  0.44861571  0.44239255  0.42751559
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[ 0.99636168]
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[ 1.32415879]
[ 0.72957926  0.53465743  0.56138126  0.32509491  0.32193603  0.28207605
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[ 0.85288411]
[ 0.31631908  0.57893485  0.49189669  0.61334987  0.36137483  0.61638224
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[-0.56167754]
[ 0.69605767  0.45164165  0.54667049  0.32753215  0.46313499  0.39587326
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[-0.88651989]
[ 0.59854494  0.6166077   0.49327517  0.45203792  0.54965807  0.38988553
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[-0.59432557]
[ 0.52211166  0.57701965  0.49659809  0.66294649  0.54870917  0.68220094
  0.44164926  0.63513057  0.48865573  0.446198  ]
Progress: 18.3% ... Training loss: 0.520 ... Validation loss: 0.851[ 0.05386723]
[ 0.2258083   0.26080313  0.60710408  0.57832788  0.47443445  0.59810926
  0.40194106  0.33498716  0.37763451  0.36596858]
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[ 1.22617248]
[ 0.73614799  0.49369543  0.54483113  0.36506545  0.35228703  0.20742426
  0.40683792  0.65442689  0.53261909  0.26165436]
[ 2.07050274]
[ 0.84859339  0.57940056  0.53937072  0.19694594  0.28396704  0.11847086
  0.51653086  0.79592665  0.55760377  0.21105846]
[ 0.51663137]
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  0.4075931   0.28399886  0.39103707  0.62998515]
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  0.37831948  0.48975494  0.39162531  0.56633952]
[ 2.70013511]
[ 0.64728513  0.68521472  0.39520378  0.57966386  0.24995506  0.35393553
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[ 0.29026827]
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[ 0.02861157]
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[ 0.15762356]
[ 0.4933098   0.57612502  0.41117998  0.58916953  0.23910309  0.367895
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[ 1.13182831]
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[ 2.47037344]
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[ 0.32647462]
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[ 2.13449453]
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[ 0.16921466]
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[ 0.72675511]
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[ 0.09310595]
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[ 0.14456311]
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[ 0.01368125]
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[ 0.02532599]
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[ 1.46609555]
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[ 0.04628483]
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[ 2.23207594]
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[ 0.42577532  0.77123348  0.39431309  0.58197619  0.50497004  0.70100995
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[ 0.97475183]
[ 0.30103589  0.72376998  0.44825196  0.57650558  0.43196492  0.50573287
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[ 0.50001847  0.44850134  0.5683238   0.39518718  0.46743198  0.63499618
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[-0.90925985]
[ 0.63569586  0.74294545  0.4428082   0.62094806  0.39303537  0.50619302
  0.45015814  0.56937457  0.53773887  0.49042555]
Progress: 18.6% ... Training loss: 0.522 ... Validation loss: 0.878[ 0.35663833]
[ 0.51875529  0.68754229  0.53865406  0.57668605  0.40379726  0.53031556
  0.56851008  0.62050604  0.57057031  0.55406014]
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[ 0.4754927]
[ 0.40531325  0.63848252  0.44295113  0.63142542  0.42373358  0.63803144
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[ 0.56634343]
[ 0.18552412  0.39386208  0.5006942   0.76807219  0.41358811  0.5993387
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[ 1.2383831]
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[ 0.25488345]
[ 0.71742856  0.22390261  0.6750217   0.22320894  0.51194303  0.32233405
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[ 0.19256482]
[ 0.4341811   0.35403038  0.54271188  0.50730468  0.48105966  0.37421957
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[ 0.22763441]
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[ 2.01240792]
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[ 0.52128123]
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  0.36011057  0.48248456  0.38879759  0.49240462]
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[ 0.43784618  0.6582515   0.31373148  0.69215423  0.29579928  0.47113958
  0.38326167  0.56483838  0.5224389   0.41971834]
[ 1.03194384]
[ 0.84301996  0.44043906  0.66603972  0.16705738  0.39654291  0.20159902
  0.61596202  0.68378184  0.52131073  0.26101725]
[ 0.14190391]
[ 0.22645606  0.6235588   0.49223927  0.68884446  0.51767932  0.69683485
  0.36979539  0.33698698  0.50609493  0.62151147]
[ 1.53377265]
[ 0.51334251  0.59120597  0.38882973  0.62995106  0.33390748  0.3743573
  0.39821711  0.51889381  0.48444361  0.40950432]
[ 1.78209915]
[ 0.79699519  0.42158528  0.68853293  0.21026449  0.51568055  0.18696375
  0.47886519  0.71932561  0.39477828  0.35019091]
Progress: 18.9% ... Training loss: 0.543 ... Validation loss: 0.806[ 0.62650119]
[ 0.66683036  0.37592741  0.68152702  0.24425403  0.35028994  0.31992549
  0.54013334  0.68370883  0.47799065  0.26089951]
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[ 0.50940645  0.68106184  0.45937163  0.65988513  0.43019441  0.53881931
  0.38425492  0.54466879  0.55069194  0.46573385]
[ 0.48015966]
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[-0.41985754]
[ 0.60549151  0.57948645  0.53118366  0.58315918  0.28589563  0.34562678
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[ 0.10730115]
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[ 0.2565193]
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[ 0.13953892]
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[ 2.12206547]
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[ 0.83471839]
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[ 0.86922714]
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[ 0.27940642]
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[ 0.41177075]
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[ 1.65618297]
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[ 0.32911291]
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[ 0.30110557]
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[ 0.09523999]
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[ 1.85001968]
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[ 0.19046559]
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[ 0.79651204]
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[ 0.51924787]
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[ 0.43890779  0.55925165  0.46016607  0.43612119  0.4442803   0.4435346
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[ 1.51287839]
[ 0.7678336   0.39539768  0.6133578   0.23993636  0.33936248  0.18259603
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[ 0.68720871  0.4806252   0.61581837  0.4098353   0.42462844  0.2200542
  0.43654455  0.61593101  0.4814167   0.43890991]
[ 0.63353578]
[ 0.52875583  0.67465899  0.43585801  0.51071318  0.2874321   0.32895049
  0.42192878  0.57959579  0.57682122  0.4279727 ]
[-0.335141]
[ 0.45685273  0.48296193  0.5200006   0.38959717  0.50293842  0.60438368
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[-0.89825571]
[ 0.78965748  0.58650942  0.60161523  0.28841858  0.30190798  0.21533452
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[ 0.71326829  0.57412853  0.53497871  0.44102435  0.46358381  0.46839322
  0.42774085  0.67704485  0.49591901  0.41168189]
Progress: 19.1% ... Training loss: 0.516 ... Validation loss: 0.862[ 1.23165043]
[ 0.75199565  0.63263833  0.55070164  0.49783573  0.38572955  0.39556766
  0.45356632  0.75815748  0.59974527  0.3454251 ]
[ 0.1194249]
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[ 0.39603196  0.54089243  0.47712608  0.53569854  0.44346995  0.39827759
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[ 0.95125492]
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[ 0.33711473]
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[ 0.81083845]
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[ 2.24967794]
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[ 0.87378089]
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[ 0.64252234]
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[ 0.18039076]
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[ 0.45732281]
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[ 0.04246535]
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[ 2.93441745]
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[ 0.79245257]
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[ 1.64000583]
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[ 0.47244577]
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[ 2.32877464]
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[ 0.13134598]
[ 0.49519651  0.67423695  0.40234575  0.53933818  0.36026596  0.30556199
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[ 1.15795778]
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[ 1.07661096]
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[ 0.32666366]
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[ 0.47350477]
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[ 0.84356889]
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[ 0.31281677]
[ 0.59072368  0.5377551   0.57498907  0.50135158  0.38264625  0.31963067
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[ 0.80746478]
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[ 0.09772211]
[ 0.24565436  0.60795798  0.41972421  0.64233242  0.36516931  0.61699619
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[ 0.07403067]
[ 0.56371143  0.72101187  0.52412702  0.70719692  0.44260931  0.55071546
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[ 0.81337068]
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[ 0.40659837]
[ 0.35281114  0.56028031  0.38504522  0.41556707  0.47435023  0.39615844
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[ 0.46253317]
[ 0.38635644  0.40856694  0.55882232  0.48186893  0.54284019  0.33785175
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[ 0.79403197]
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[ 0.41403361]
[ 0.61063397  0.50067095  0.53227826  0.31544902  0.49231546  0.36809079
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[ 0.44183083  0.49631086  0.51381758  0.6060158   0.44503378  0.64931545
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[ 0.23884146]
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[ 0.38958956]
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[ 1.6391926]
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[ 0.40306258]
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[ 0.09859637]
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[ 0.58709149]
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[ 0.39455929]
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[ 0.80880112]
[ 0.45648793  0.61501549  0.47210261  0.39362245  0.34157034  0.44642242
  0.46671758  0.70622349  0.5146489   0.36383389]
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[ 0.40449844  0.79541561  0.40784341  0.63641676  0.46300458  0.7502635
  0.41182458  0.5735039   0.58078231  0.73484246]
[ 0.051213]
[ 0.63668315  0.59288179  0.44331411  0.44217741  0.27401114  0.2640971
  0.57998496  0.61091904  0.66502606  0.26084398]
[-0.2909049]
[ 0.31144323  0.48892886  0.43296265  0.57842557  0.51839251  0.62523783
  0.33496972  0.5081405   0.4650391   0.54008561]
[-0.24643728]
[ 0.56415879  0.77576605  0.48293557  0.53578868  0.35549878  0.60176023
  0.58026511  0.61637679  0.64619804  0.51872924]
[ 0.28983577]
[ 0.16782455  0.50049339  0.49524187  0.70790388  0.44711011  0.71393106
  0.42086619  0.3616595   0.41713372  0.52909176]
[ 0.78586871]
[ 0.5602706   0.32653096  0.61144858  0.35871725  0.43013355  0.36936141
  0.48045107  0.62268011  0.38931888  0.25421236]
[ 2.81794941]
[ 0.77306121  0.49092086  0.54248991  0.24587351  0.32294649  0.21850821
  0.42902156  0.75565805  0.48796572  0.25688327]
Progress: 19.4% ... Training loss: 0.511 ... Validation loss: 0.814[-0.21598094]
[ 0.44672145  0.41289954  0.56612666  0.40181058  0.45725055  0.45864277
  0.62071475  0.57732931  0.42689959  0.34356041]
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[ 0.46852079  0.74768219  0.37015913  0.69860443  0.57545764  0.63708548
  0.3747829   0.60280419  0.48690481  0.71647819]
[ 0.0245749]
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  0.33259573  0.62943786  0.40099338  0.531614  ]
[-0.82307551]
[ 0.65937232  0.60468639  0.5029685   0.63688862  0.448252    0.33190097
  0.3821152   0.69652141  0.49412479  0.47943973]
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[ 0.46948549  0.628737    0.39264063  0.63363174  0.49411021  0.72212754
  0.32085723  0.58804138  0.38875753  0.64265905]
[ 0.31518768]
[ 0.77670619  0.44030943  0.56583092  0.34193818  0.46893182  0.21486751
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[ 0.73246101  0.80588984  0.53719967  0.32558254  0.35847159  0.36594425
  0.61823634  0.79100158  0.68337513  0.48797775]
[ 1.558355]
[ 0.72155691  0.61233145  0.50109079  0.4156069   0.27804881  0.29311991
  0.47426302  0.59529303  0.58761088  0.34628522]
[-0.46287468]
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  0.44343219  0.52095571  0.51001899  0.53559306]
[-0.64999683]
[ 0.78352396  0.56842112  0.62904029  0.34440036  0.47262245  0.32673252
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[-0.44628424]
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[-0.53270918]
[ 0.58633466  0.44026258  0.64352856  0.34295453  0.40951649  0.38656684
  0.45579507  0.51870726  0.37080916  0.44545544]
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[ 0.73565252  0.41892208  0.64859256  0.35614694  0.39771848  0.34862468
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[-1.01642014]
[ 0.74887932  0.54681914  0.44361775  0.56702054  0.37641374  0.23325846
  0.53805479  0.76696074  0.46591263  0.52221561]
[-1.00681025]
[ 0.70605757  0.52461017  0.54058871  0.36783153  0.46796345  0.31455812
  0.52269763  0.67812045  0.43153609  0.37090156]
[ 1.00631764]
[ 0.64177199  0.61924865  0.50233916  0.48254297  0.23305843  0.39084263
  0.40315009  0.50335037  0.49061313  0.41089504]
[-0.08674617]
[ 0.73067208  0.55072961  0.58386187  0.29670937  0.36638366  0.29047768
  0.57664038  0.69929812  0.54309499  0.35307652]
[ 1.99425889]
[ 0.84695584  0.57846043  0.5391273   0.19815416  0.28377274  0.12334885
  0.51696179  0.79004431  0.55809603  0.21597274]
[-0.34122261]
[ 0.49922514  0.42202927  0.67760391  0.42611013  0.41529489  0.63052165
  0.43192594  0.55125657  0.38261792  0.41981149]
[ 0.00504081]
[ 0.49208799  0.70905283  0.44227845  0.59291873  0.38582703  0.58749544
  0.5539766   0.62315533  0.52328609  0.61725823]
[ 1.95562468]
[ 0.5532094   0.77759051  0.47563686  0.56916131  0.37538759  0.55963241
  0.46510133  0.62514355  0.55344338  0.54890296]
[ 0.2881273]
[ 0.22389903  0.69175067  0.33841624  0.7118946   0.55935698  0.74215703
  0.3392136   0.39899858  0.42195156  0.78147878]
[-0.51849457]
[ 0.4496407   0.66216666  0.52728716  0.57632517  0.4859288   0.55413299
  0.42218984  0.49152696  0.52059347  0.51794776]
[ 0.09598391]
[ 0.46595601  0.58237505  0.49045963  0.40544676  0.50758929  0.46556677
  0.52880345  0.5728349   0.46520521  0.50523084]
[-0.21168825]
[ 0.47560436  0.46828302  0.61962476  0.4460604   0.61454471  0.57279488
  0.37120508  0.44235786  0.48124358  0.54085513]
[ 0.65933849]
[ 0.52761065  0.29421539  0.6480652   0.26019127  0.42963116  0.38816012
  0.51084604  0.53004509  0.41108228  0.27375804]
[-0.18554926]
[ 0.44437018  0.42411046  0.52306159  0.32408586  0.424862    0.57050807
  0.39886489  0.50972498  0.30371525  0.40565634]
[ 0.26185134]
[ 0.57257899  0.60556129  0.57365269  0.37590763  0.46377795  0.46180094
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  0.41988343  0.4750993   0.2568536   0.51225629]
[ 1.38061306]
[ 0.40021104  0.78939345  0.36448246  0.71851324  0.3263955   0.63328313
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[-1.16189544]
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  0.3440363   0.65794322  0.52135772  0.46895622]
[ 0.59507992]
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[ 0.30189205]
[ 0.23693561  0.5912145   0.36536167  0.55992329  0.46824291  0.79676611
  0.35711068  0.35055001  0.46883708  0.64144227]
[ 0.64765131]
[ 0.8078818   0.4546233   0.6303062   0.29801785  0.40052696  0.21251857
  0.58918283  0.78047266  0.39982734  0.24027392]
[ 0.26319795]
[ 0.69050037  0.62006329  0.56951028  0.39307706  0.37434252  0.33565986
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[ 0.72585375  0.7605114   0.4402546   0.42850782  0.32278996  0.2220328
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[ 1.43654796]
[ 0.86917731  0.50104301  0.53276846  0.19674477  0.24653442  0.13702914
  0.55777167  0.74987939  0.60312579  0.15873236]
[ 0.01696019]
[ 0.28197119  0.4913489   0.56341426  0.61036424  0.42835562  0.72766161
  0.39281105  0.45739889  0.51835646  0.54810957]
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[ 0.65233272  0.44987619  0.60584495  0.30865281  0.39821442  0.4484696
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[-0.3134277]
[ 0.56752539  0.5223706   0.57431458  0.59016718  0.52550197  0.50334699
  0.43518229  0.57107354  0.61636615  0.42414018]
[ 1.15487313]
[ 0.47139646  0.75312093  0.42343427  0.64192031  0.29231534  0.48052859
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[ 1.01367845]
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[ 2.02228351]
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[ 1.9312696]
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[ 0.10495323]
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[ 1.90739387]
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[ 0.19202201]
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[ 0.128292]
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[ 0.03975245]
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[ 0.75847134]
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[ 0.05110698]
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[ 0.96926203]
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[ 0.58113241]
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[ 0.15035118]
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[ 0.03288875]
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[ 0.69438992]
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[ 0.77773556  0.74176594  0.50048231  0.29191521  0.29378243  0.20332889
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[ 0.4380378   0.26914241  0.67248235  0.31917848  0.57354484  0.38502684
  0.37831432  0.32224345  0.29886035  0.33773668]
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[ 0.44890715  0.45566128  0.55352334  0.33271038  0.50336115  0.43011467
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[ 0.70357887  0.73152329  0.44589881  0.36142841  0.29949284  0.19026473
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[-1.11580261]
[ 0.67588206  0.60960152  0.58236663  0.55965326  0.48867221  0.47512555
  0.47389282  0.65412176  0.53289223  0.41793863]
Progress: 19.7% ... Training loss: 0.506 ... Validation loss: 0.834[-0.43886176]
[ 0.75635569  0.72589588  0.3612459   0.44981605  0.21740885  0.30266855
  0.43411052  0.6457275   0.5852997   0.34720499]
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  0.4219713   0.68026219  0.4976918   0.27837609]
[ 0.94685955]
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[ 0.30280258]
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[ 0.10029682]
[ 0.41665787  0.71213125  0.46537983  0.57616294  0.3896449   0.53567667
  0.52606104  0.59104965  0.54813612  0.53607034]
[ 1.43297946]
[ 0.66267612  0.60926237  0.60554143  0.33899393  0.47720683  0.33554284
  0.51717701  0.67933806  0.48211426  0.40801714]
[ 0.48185732]
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  0.40209621  0.57888379  0.58361516  0.57308047]
[ 0.12322394]
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  0.35655733  0.66039542  0.58249535  0.60995595]
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[ 0.00705588]
[ 0.41518254  0.44857657  0.66963848  0.44344563  0.51435903  0.627437
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[ 0.72860925]
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  0.6259019   0.64517477  0.49191621  0.36111932]
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[ 0.00841306]
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  0.31906017  0.59499931  0.6183451   0.7625939 ]
[ 0.20843793]
[ 0.21141887  0.57704788  0.37946321  0.67643315  0.48034539  0.72224882
  0.44414557  0.54422688  0.39698646  0.53376877]
[ 0.1354965]
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[ 0.58849154  0.59121819  0.580052    0.27807556  0.53501909  0.4859935
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[ 2.01946675]
[ 0.68921467  0.51817366  0.53999079  0.3861731   0.37520255  0.19908929
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[ 1.00124526]
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[ 0.06274129]
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[ 0.61691497]
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[ 0.18378561]
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[ 0.33818523]
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[ 0.65733353  0.38896753  0.75794121  0.27013642  0.64075274  0.51467248
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[ 0.64675268  0.61886598  0.48901918  0.43717212  0.39722234  0.34047462
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[ 0.50814094  0.70599251  0.4319142   0.63108225  0.32092705  0.48836995
  0.41037473  0.4886712   0.58948619  0.48724536]
Progress: 20.0% ... Training loss: 0.502 ... Validation loss: 0.822[ 0.90218882]
[ 0.71409143  0.57530997  0.51557476  0.42593002  0.24037525  0.22882683
  0.50592277  0.66021322  0.59991037  0.25782706]
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[ 0.16572414]
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[ 0.62528438]
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[ 0.14293939]
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[ 1.13490828]
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[ 0.08314152]
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[ 0.00027007]
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[ 1.00161396]
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[ 0.19839598]
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  0.47599119  0.63744023  0.49767031  0.45560435]
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[ 0.81082815  0.68676283  0.52154225  0.31075042  0.27275846  0.22007865
  0.55225562  0.68349918  0.62537708  0.4098961 ]
[ 1.42380136]
[ 0.51827755  0.77000246  0.41137568  0.64689078  0.41534539  0.55069454
  0.44819739  0.55932822  0.53430203  0.54028851]
[ 1.05357031]
[ 0.5546996   0.69077431  0.46754241  0.62698722  0.45916103  0.37193003
  0.42299139  0.60315272  0.54079622  0.49133231]
[ 1.2323139]
[ 0.48698332  0.65315301  0.39964385  0.55000085  0.35888168  0.25954814
  0.38916258  0.5587822   0.50948791  0.43939525]
[-0.24907375]
[ 0.41461113  0.50933431  0.49683144  0.50547375  0.49025845  0.6237744
  0.32160979  0.58953076  0.4540942   0.56411706]
[-1.02044113]
[ 0.57795202  0.70069533  0.39507227  0.65784868  0.30258474  0.30476939
  0.37973403  0.46905375  0.50516015  0.43332942]
Progress: 20.3% ... Training loss: 0.505 ... Validation loss: 0.842[-0.22685331]
[ 0.38732642  0.60528075  0.36627408  0.618124    0.44231818  0.77106976
  0.37771112  0.6894801   0.53357092  0.58689336]
[-0.30749812]
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[ 1.15369763]
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  0.49030023  0.56133916  0.56847914  0.5591551 ]
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[ 0.88230753]
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[ 0.22019444]
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  0.29939002  0.46199764  0.44801276  0.65580254]
[ 0.29762146]
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  0.33762183  0.28730418  0.4376369   0.66286172]
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  0.37404273  0.54486991  0.48838502  0.50544744]
[ 0.87291888]
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[ 0.698332]
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[ 0.60460292]
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[ 1.27702594]
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[ 0.51689038]
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  0.40037037  0.5914852   0.64140811  0.44245956]
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[ 0.01855353]
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[ 0.28165831]
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[ 0.04874287]
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[ 0.86058485]
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[ 0.19434841]
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[ 2.08875429]
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[ 0.25763896]
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[ 2.17699801]
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[ 0.58873387]
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[ 0.3451862]
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[ 1.41950838]
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[ 1.00078795]
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[ 0.36655102]
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[ 0.11815216]
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[ 0.41713558]
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[ 0.16715101]
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[ 0.46273055]
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[ 0.09395011]
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[ 0.07465669]
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[ 0.22206243]
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[ 1.93909989]
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[ 0.22465]
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[ 0.94602025]
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[ 0.35916165]
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[ 0.91899438]
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[ 0.08124246]
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[ 0.24891008]
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[ 0.38134336]
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[ 0.32319211]
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[ 0.23335871]
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[ 0.24687249]
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[ 0.91139883]
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[ 1.36505576]
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[ 0.53152042]
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[ 0.082422]
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[ 0.04537919]
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[ 1.43195987]
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[ 0.34437813]
[ 0.77504225  0.51054682  0.60174444  0.25939308  0.41385127  0.20118803
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[ 0.41623106  0.35782361  0.55300728  0.52792002  0.52685294  0.62827358
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[ 0.4715828   0.48788733  0.64576001  0.39340297  0.54459011  0.52838955
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[ 0.28032907  0.50852755  0.49984387  0.52665445  0.45378793  0.73258308
  0.4540659   0.57527378  0.52923744  0.47128285]
Progress: 20.6% ... Training loss: 0.498 ... Validation loss: 0.820[-0.17194476]
[ 0.3499785   0.69199209  0.40968074  0.66159231  0.43079505  0.75753852
  0.35429299  0.56799824  0.61775891  0.60053993]
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[ 0.78727157]
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[ 1.34258849]
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[ 0.83418292]
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  0.42435455  0.63119852  0.54978124  0.4932582 ]
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  0.6413728   0.66576948  0.46442945  0.39614398]
[ 0.35642814]
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[ 1.07379437]
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[ 0.43385413]
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[ 0.12303977]
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[ 0.15021468]
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[ 0.53210917]
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[ 0.35056677]
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[ 0.53090716]
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[ 1.26602918]
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[ 0.36065237]
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[ 0.08035934]
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[ 2.00812008]
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[ 1.00460923]
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[ 0.96320847]
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[ 0.20896655]
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[ 0.70751723]
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[ 0.90221119]
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[ 0.42940527]
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[ 0.03574961]
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[ 0.56102812]
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[ 0.43561094]
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[ 0.15870582]
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[ 0.62787273]
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[ 0.36044915]
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[ 0.08102279]
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[ 0.20343824]
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[ 0.74198925  0.45920848  0.6377463   0.21380821  0.37655958  0.32718029
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[ 1.07033381]
[ 0.74676298  0.68680283  0.58228983  0.37181743  0.46922362  0.24859638
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[ 0.57262551  0.61454809  0.47632075  0.58185023  0.26194817  0.39991901
  0.49269003  0.57974669  0.52624142  0.46632088]
Progress: 20.9% ... Training loss: 0.496 ... Validation loss: 0.802[ 0.14549543]
[ 0.35336448  0.39875754  0.46412757  0.6487566   0.47924228  0.57219496
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[ 0.00046199]
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[ 0.09633507]
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[ 0.44404237]
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[ 0.27023014]
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[ 0.61446975]
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[ 0.40134767]
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[ 0.19407687]
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[ 0.55642927]
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[ 2.47207707]
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[ 0.20846979]
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[ 0.45488143]
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[ 1.11984938]
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[ 0.55835299]
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[ 1.38573798]
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[ 0.13379126]
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[ 0.41910484  0.6096133   0.50904228  0.56158815  0.39040155  0.59408416
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[ 0.48866689  0.71535679  0.44114451  0.61512415  0.39377661  0.52868563
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[ 2.06144755]
[ 0.49463443  0.64801032  0.53017684  0.47667133  0.48310065  0.43287377
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[ 0.38995992  0.5134618   0.40313647  0.55300112  0.51863751  0.6965322
  0.39840637  0.64872379  0.31850045  0.4436883 ]
Progress: 21.1% ... Training loss: 0.492 ... Validation loss: 0.801[-0.71888042]
[ 0.55168108  0.67923967  0.40365689  0.46337935  0.33334349  0.28329966
  0.4274306   0.58019179  0.62668529  0.35309813]
[ 0.1161942]
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[ 0.26367694]
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[ 0.74390308]
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[ 0.12198322]
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[ 0.46139452]
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[ 0.60018119]
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[ 0.05474817]
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[ 0.36654052]
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[ 0.22506559]
[ 0.74250659  0.54240181  0.6044702   0.51446483  0.49863809  0.26077928
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[ 0.19080221]
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[ 0.58880583  0.73422497  0.49531112  0.43192329  0.4037293   0.49055992
  0.49935618  0.67264915  0.59833716  0.4663066 ]
[ 0.49804643]
[ 0.56912144  0.73058012  0.42334056  0.57725122  0.39023167  0.44623229
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[ 0.50154101]
[ 0.64832509  0.74495897  0.52047016  0.44053664  0.42001478  0.52634383
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[ 0.66242281  0.5119686   0.55587752  0.36530808  0.36759663  0.34218703
  0.50287496  0.68938441  0.46541418  0.40815348]
Progress: 21.4% ... Training loss: 0.492 ... Validation loss: 0.811[ 0.50838524]
[ 0.40560511  0.5947228   0.61750993  0.48582328  0.4488722   0.55897732
  0.42673027  0.46103029  0.57755178  0.52725756]
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[ 0.30134787]
[ 0.61303346  0.6760945   0.45728384  0.37254879  0.44003808  0.39004724
  0.45117726  0.68359128  0.64918464  0.50931746]
[ 0.09823325]
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[ 0.1749866]
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[ 0.5215924]
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[ 0.37287614]
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[ 0.26747064]
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[ 0.22458533]
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[ 0.13961725]
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[ 0.0266668]
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[ 0.09750782]
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[ 0.06050194]
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[ 2.32777311]
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[ 0.00135907]
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[ 0.19909442]
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[ 2.68237131]
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[ 0.53076445]
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[ 1.34199979]
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[ 1.025831]
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[ 1.73830294]
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[ 1.35527168]
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[ 0.7719013   0.73546901  0.54271746  0.55644321  0.48135449  0.32626835
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[ 0.07273335]
[ 0.41230001  0.80278792  0.40994213  0.69584491  0.39544346  0.67057969
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[ 2.25075682]
[ 0.7766732   0.45394283  0.59478032  0.31928097  0.47548935  0.18976591
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[ 1.86979508]
[ 0.85102375  0.65899503  0.50008605  0.28982563  0.24378863  0.12040275
  0.50857796  0.71772572  0.60589112  0.31821575]
[ 0.89844775]
[ 0.51585008  0.44314349  0.52787533  0.37055759  0.39334256  0.53867635
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[ 2.0564499]
[ 0.71935806  0.62403432  0.48792143  0.46783205  0.32135476  0.39187179
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[-1.15210115]
[ 0.6691959   0.76070309  0.37693515  0.57347564  0.2938257   0.3645781
  0.39047936  0.5420416   0.55273742  0.4723355 ]
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  0.5003639   0.5153024   0.49804763  0.37031354]
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[ 0.43904106  0.5973033   0.48764008  0.67255057  0.33830953  0.50762337
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[ 0.81451681  0.64263954  0.58670216  0.27187961  0.42098462  0.40828362
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[ 0.55195249  0.75299837  0.44628027  0.46951555  0.43562101  0.4755099
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[ 1.36634093]
[ 0.65558283  0.63329939  0.49934664  0.45730921  0.23717705  0.37743238
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[ 0.56757787]
[ 0.50668635  0.67126374  0.4691719   0.60932221  0.42669385  0.55690302
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[ 0.5419434   0.27581414  0.6105017   0.28182298  0.55247043  0.53401263
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[ 0.05032909]
[ 0.43879374  0.38863462  0.52796678  0.43614835  0.49981475  0.56895544
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[ 0.40379458  0.45467155  0.54179436  0.46150531  0.53373701  0.5385084
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[ 0.43225677  0.62928732  0.43978115  0.3952017   0.38172592  0.33826039
  0.46157579  0.61814637  0.56870211  0.43272364]
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[ 0.23245107  0.25931849  0.61279911  0.56912035  0.46340776  0.5745763
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[-0.52983546]
[ 0.42478992  0.31518179  0.64777624  0.34919207  0.5585004   0.68365118
  0.40906494  0.54696609  0.31999928  0.47721345]
[ 0.04026576]
[ 0.3757582   0.43574221  0.59818251  0.40289768  0.48939785  0.45342677
  0.42053582  0.53067787  0.37828314  0.44390304]
[-0.38439654]
[ 0.54794094  0.68254291  0.48727155  0.50332424  0.35231357  0.45698743
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[ 0.67672783]
[ 0.55864417  0.39222572  0.67141517  0.34128319  0.50442309  0.42372527
  0.36502075  0.55991732  0.48176651  0.43658427]
Progress: 21.7% ... Training loss: 0.488 ... Validation loss: 0.785[-0.18805995]
[ 0.5047783   0.6860027   0.5415599   0.65390546  0.40705648  0.57415399
  0.42045667  0.64491649  0.54767227  0.46856368]
[ 0.30998828]
[ 0.39996236  0.46347867  0.58584046  0.62104722  0.35471903  0.68307786
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  0.41890481  0.67917656  0.49531102  0.58861604]
[-0.16511207]
[ 0.60229806  0.59807137  0.44501221  0.39465805  0.36072578  0.62315867
  0.42861412  0.57755786  0.48944111  0.54775058]
[ 1.34395027]
[ 0.80585696  0.58917985  0.65024002  0.3688118   0.46038754  0.25917521
  0.4773858   0.75635973  0.63206145  0.33038001]
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  0.38475051  0.48491452  0.57313911  0.68528326]
[ 0.24265444]
[ 0.18038749  0.54018632  0.48045336  0.58798619  0.5296203   0.74391101
  0.38126993  0.33663868  0.56872842  0.66489687]
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  0.53511968  0.72339033  0.65505563  0.21826337]
[-0.34588999]
[ 0.34926857  0.64910855  0.37764154  0.66319964  0.40886355  0.70494238
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[ 0.02999304]
[ 0.59082483  0.65820075  0.51500904  0.41117891  0.46174233  0.34184772
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[ 0.25494744  0.49765595  0.64795562  0.54200628  0.47269001  0.74640241
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[ 0.52192571  0.6273639   0.54379095  0.38944678  0.53475911  0.55509589
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  0.43322503  0.60025582  0.5029053   0.67782791]
[ 0.14390653]
[ 0.31754242  0.5555305   0.55975219  0.60228956  0.35911938  0.55603019
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[ 0.04945176]
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  0.40953631  0.54698433  0.54097908  0.6770178 ]
[-0.53951246]
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  0.50706376  0.58984103  0.40866999  0.39143041]
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[ 0.40093882  0.67451485  0.56055038  0.58607882  0.51462085  0.67519631
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[-0.01128722]
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  0.35699348  0.49035856  0.61950912  0.62736063]
[ 1.99026304]
[ 0.85292543  0.50283952  0.60586707  0.22129486  0.39188253  0.15656514
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[ 0.58721733  0.52655627  0.64450455  0.41594514  0.56615373  0.7172975
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[ 0.06392878]
[ 0.32606625  0.73562289  0.36934432  0.66722117  0.34964503  0.67155744
  0.42503463  0.63269896  0.53039219  0.59205171]
[-0.03005668]
[ 0.29470925  0.7327762   0.39770985  0.63045678  0.49360084  0.62418224
  0.3099719   0.42810145  0.52066383  0.6630558 ]
[ 0.19122137]
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  0.45888631  0.32415048  0.4792934   0.55701558]
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[ 0.33766255  0.31805312  0.65774718  0.48366087  0.57465828  0.47384159
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[ 0.44706109]
[ 0.52631055  0.59823771  0.50210168  0.3287364   0.42911736  0.41200293
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[-1.2578889]
[ 0.82419346  0.49631897  0.62441397  0.23153614  0.36347496  0.26817275
  0.4692267   0.77149446  0.56674996  0.34437395]
[ 1.95026135]
[ 0.72231283  0.62309134  0.49063024  0.46403507  0.31773438  0.38536705
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[-1.46938311]
[ 0.55031808  0.3951102   0.54383466  0.4520852   0.41819138  0.36087447
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[ 0.12528274]
[ 0.58026602  0.72452864  0.41655918  0.6060054   0.41636353  0.52904143
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[-0.49646773]
[ 0.80768032  0.67305478  0.59473036  0.32814869  0.45080045  0.31566301
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[ 1.33053111]
[ 0.6239321   0.68302405  0.4901682   0.48799361  0.38100461  0.51381436
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[ 0.38657522  0.64311842  0.38891472  0.5767329   0.34700773  0.59782965
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[ 0.34076693]
[ 0.58916832  0.63136216  0.49600322  0.50072805  0.4131241   0.34230448
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  0.35203143  0.46477395  0.64782031  0.44225833]
[ 0.36605298]
[ 0.50534297  0.5908485   0.4167821   0.60967437  0.41996611  0.58886947
  0.49368098  0.635909    0.36572651  0.44281768]
[ 0.14396252]
[ 0.26574313  0.67893662  0.34472155  0.67991496  0.37652556  0.58466751
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[ 0.79532993  0.7886131   0.5781438   0.32696039  0.34169511  0.38983703
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[ 0.7850647]
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[ 0.89486069]
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[ 0.03009605]
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[ 0.10267451]
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  0.52847828  0.7376253   0.60793706  0.49308746]
[ 0.38278564]
[ 0.56508647  0.45206618  0.58350888  0.29877941  0.47206575  0.51807446
  0.54188314  0.62001268  0.39727066  0.47724055]
[ 1.442348]
[ 0.59587139  0.64761032  0.44796303  0.51918677  0.2352615   0.3076604
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[ 2.12749029]
[ 0.8500534   0.60395832  0.58954015  0.32221967  0.35904226  0.23741988
  0.52138943  0.80577815  0.57892518  0.27431622]
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[ 0.65679171]
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[ 0.34123836]
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[ 1.77695475]
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[ 0.85096261]
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[ 0.1257955]
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[ 0.16794123]
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[ 0.77717074]
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[ 0.05229362]
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[ 0.32953021]
[ 0.71345623  0.58394587  0.45650478  0.35228741  0.27179738  0.13523865
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[ 0.32542976  0.44688023  0.55021002  0.52680308  0.50161313  0.57641355
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[ 0.52063451  0.5229789   0.62566865  0.50112228  0.41642215  0.49095971
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[ 0.38930515  0.44343222  0.47964755  0.59959079  0.58891833  0.7807557
  0.39489596  0.51035034  0.34209923  0.56516406]
Progress: 22.0% ... Training loss: 0.486 ... Validation loss: 0.785[-0.09769959]
[ 0.44750375  0.38258887  0.54636137  0.5161416   0.52024225  0.41188819
  0.43222385  0.37693788  0.42233529  0.38229533]
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[ 0.33283775]
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[ 0.25611157]
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[ 0.60954443]
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[ 0.07381042]
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[ 0.49745552]
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[ 1.50263031]
[ 0.3626063   0.38269164  0.52012715  0.49388267  0.45398534  0.41691904
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[ 0.39179873]
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[ 0.57149641]
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[ 0.18947802]
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[ 0.072392]
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[ 0.16385699]
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[ 0.55309959]
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[ 0.45471459]
[ 0.68299605  0.57314687  0.55572552  0.21308258  0.34578072  0.26908266
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[ 0.307191]
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[ 0.16719028]
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[ 0.2330797]
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[ 0.39713456]
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[ 0.06269337]
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[ 2.73992844]
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[ 0.31063235]
[ 0.44627386  0.38687728  0.5581673   0.37521176  0.45438427  0.54348076
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[ 0.0704459]
[ 0.61587047  0.69419052  0.51673892  0.55221878  0.39497544  0.38104235
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[-0.20359931]
[ 0.45180007  0.32511848  0.65349256  0.30749492  0.6193386   0.6083779
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[ 1.35550463]
[ 0.70173298  0.53660577  0.5412172   0.38272046  0.34797916  0.34162153
  0.4859474   0.67222725  0.4692336   0.33552548]
Progress: 22.3% ... Training loss: 0.488 ... Validation loss: 0.805[-0.42008041]
[ 0.44396258  0.67553915  0.52910871  0.48994774  0.46504762  0.59331835
  0.50232798  0.45440611  0.5976436   0.61633522]
[ 1.45369185]
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[ 0.23202929]
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[ 0.50550561]
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[ 1.06249029]
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[ 1.17704967]
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[ 0.30992604]
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[ 0.25222456]
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[ 0.38191448]
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[ 0.13407388]
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[ 0.18007787]
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[ 0.11777853]
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[ 0.00071211]
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[ 0.5809183   0.61029295  0.47649272  0.37817629  0.36030882  0.37585519
  0.51943114  0.50624416  0.54059688  0.52157453]
[ 2.71812856]
[ 0.84142062  0.38893552  0.65917009  0.14555172  0.36719007  0.23162988
  0.55258325  0.7413297   0.47662837  0.24712898]
[-0.64072506]
[ 0.72490422  0.3398393   0.66064031  0.3259249   0.4655475   0.26868774
  0.46109073  0.55848887  0.40749762  0.35369535]
[-0.03746583]
[ 0.46235931  0.36954124  0.66354115  0.37892772  0.58045559  0.56484482
  0.4251695   0.57074157  0.47241516  0.45665214]
[-0.11038446]
[ 0.29687707  0.55310458  0.46664704  0.71297952  0.36810172  0.73957549
  0.37603743  0.45994365  0.41509126  0.50413159]
Progress: 22.6% ... Training loss: 0.481 ... Validation loss: 0.780[-0.06594128]
[ 0.61149032  0.61992765  0.51788512  0.4761311   0.35656002  0.44634598
  0.48142515  0.7321093   0.59533523  0.45556425]
[-0.78773558]
[ 0.59205843  0.60155383  0.52939557  0.5722662   0.39441492  0.49403666
  0.47722962  0.43695519  0.55088882  0.46357276]
[ 2.4339683]
[ 0.4157547   0.74090524  0.38003711  0.63996517  0.35451038  0.52874864
  0.39956735  0.62885723  0.67430183  0.51033628]
[-0.83138422]
[ 0.68782897  0.65823538  0.49049754  0.41732394  0.27926311  0.38609386
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[-0.28824635]
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  0.55792451  0.67547821  0.61439014  0.28157526]
[ 0.1753237]
[ 0.28197913  0.5869057   0.51164415  0.42668697  0.49717517  0.73671396
  0.3999751   0.35085981  0.43679164  0.65318712]
[ 0.19007257]
[ 0.41137179  0.69490415  0.51549671  0.48684948  0.41965471  0.60203865
  0.44692044  0.49270413  0.48654847  0.62026037]
[ 0.11916071]
[ 0.55905057  0.45078547  0.46806276  0.2763772   0.34781341  0.36298469
  0.49752978  0.65569179  0.49319691  0.25484445]
[ 1.13655474]
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  0.276469    0.56505118  0.65000291  0.48474504]
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[-0.29311039]
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  0.33554441  0.53174118  0.58498314  0.41810356]
[ 0.15423292]
[ 0.62212652  0.35564805  0.59464568  0.31215865  0.39927024  0.43048702
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[ 0.19267809]
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  0.37614506  0.32643933  0.25210986  0.59097494]
[ 1.98484714]
[ 0.70434549  0.49905152  0.55152472  0.36649598  0.25725795  0.23979636
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  0.52486585  0.5957853   0.34819716  0.46665025]
[ 0.50198707]
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  0.47681601  0.47086884  0.59158109  0.49754135]
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[ 0.09563101]
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[-1.14490279]
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[ 2.49852867]
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[ 1.93286114]
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[-0.21345941]
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  0.44579521  0.49346022  0.64250111  0.67716752]
[ 0.06088551]
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[ 1.66796175]
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[ 0.4187616]
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[ 0.33639766]
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[ 0.98031953]
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[ 0.66922971]
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[ 0.02378006]
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[ 0.60556871]
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[ 0.38359301]
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[ 0.28980104]
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[ 0.1047079]
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[ 0.66922971]
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[ 0.65556306]
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[ 2.13595729]
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[ 0.37905632]
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[ 0.27421787]
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[ 2.27494462]
[ 0.77623053  0.54368939  0.52911804  0.39802067  0.33740367  0.1857398
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[ 0.41378485]
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[ 0.68370579  0.60975168  0.52429017  0.33031063  0.4683515   0.44231198
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[-0.03527455]
[ 0.65999329  0.52548259  0.53307578  0.33636308  0.29072229  0.21501441
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[ 0.33158182]
[ 0.13334059  0.65370568  0.41308779  0.67364927  0.44536674  0.78350257
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[-0.92008326]
[ 0.68014648  0.50203427  0.59660665  0.39289769  0.47085521  0.4203016
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[-0.28906618]
[ 0.81070725  0.57401762  0.57251181  0.24414616  0.26743372  0.19670749
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[-0.35156361]
[ 0.53441767  0.61931127  0.42746392  0.51648174  0.31140314  0.28097955
  0.42757218  0.68365608  0.50237348  0.27691878]
[-0.85704698]
[ 0.70661043  0.41490768  0.59357206  0.39809792  0.40156721  0.36818994
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[-0.04522882]
[ 0.4855925   0.56316759  0.5021256   0.49224463  0.41069218  0.42880484
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[-0.1017198]
[ 0.51818842  0.67400074  0.48642036  0.62192655  0.30090888  0.46877898
  0.40338058  0.49103173  0.48756677  0.5970966 ]
Progress: 22.9% ... Training loss: 0.479 ... Validation loss: 0.775[-0.21131623]
[ 0.3789616   0.70505103  0.36702697  0.59123466  0.42952018  0.62467889
  0.42895062  0.40073448  0.5502512   0.63490179]
[-0.55447578]
[ 0.44158348  0.66953505  0.43931977  0.56524755  0.33783644  0.4046547
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[ 0.13974428]
[ 0.23768818  0.45835403  0.58568968  0.54767478  0.48943485  0.71729806
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[ 1.67591157]
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  0.48785237  0.63952375  0.46416858  0.24338449]
[ 0.04746728]
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[ 0.27539433]
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[ 0.97087741]
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  0.47298005  0.28035161  0.30928952  0.50796229]
[ 0.32973438]
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[-1.12512331]
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[ 0.69906492]
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[ 0.31189898]
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[ 0.41831679]
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[ 1.56993842]
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[ 0.66948916]
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[ 0.07561128]
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[ 0.5062978]
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[ 0.31081688]
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[ 0.05546263]
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[ 0.84786487]
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[ 2.34219246]
[ 0.78893231  0.64008706  0.51200517  0.36819615  0.28127681  0.11791807
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[ 1.27541937]
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[ 0.40395459]
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[ 0.80756244]
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[ 0.00799054]
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[ 0.43909455]
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[ 0.16460722]
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[ 1.29116561]
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[ 0.8646617]
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[ 0.15122269]
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[ 0.28279846]
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[ 0.12023942]
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[ 2.17237511]
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[ 0.99296322]
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[ 1.5954761]
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[ 0.15845265]
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[ 0.05554826]
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[ 0.35168248]
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[ 0.21526344]
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[ 0.0026235]
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[ 0.43909455]
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[ 0.11432255]
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[ 0.6586396   0.67317861  0.56261615  0.58503394  0.45255105  0.43766359
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[ 1.31810961]
[ 0.58486992  0.45674728  0.61662     0.33055835  0.41692912  0.42937998
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[ 0.66346845  0.43526911  0.65266792  0.51817341  0.48165063  0.59246436
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[ 0.43709375  0.76043809  0.36463796  0.70410768  0.24122896  0.62542155
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[ 0.69635663]
[ 0.13823739  0.74219144  0.36582747  0.74396605  0.48239657  0.79506209
  0.34083749  0.38823923  0.63059059  0.73158625]
Progress: 23.1% ... Training loss: 0.476 ... Validation loss: 0.779[-0.44871281]
[ 0.62218059  0.55400317  0.49509788  0.45636093  0.40732441  0.3047711
  0.63226276  0.64628829  0.53367489  0.32380237]
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[ 0.51427982]
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[ 0.92253344]
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[-1.41709892]
[ 0.78006177  0.43860967  0.60541601  0.31545652  0.43461244  0.3945272
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[ 1.18114111]
[ 0.59896984  0.55455475  0.56902384  0.39948237  0.28330156  0.41703566
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[ 1.49439022]
[ 0.65273396  0.65342349  0.50161273  0.51447181  0.25600724  0.2982738
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[ 0.02073057]
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[ 1.05795361]
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[ 1.75636769]
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  0.513518    0.83367677  0.608578    0.29560603]
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[ 0.63125573]
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[ 0.12611496]
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[ 0.77187584]
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[ 0.10582216]
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[ 0.5379408]
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[ 0.27411084]
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[ 0.78808323]
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[ 0.69494153]
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[ 0.96827711]
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[ 0.11857198]
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[ 0.09924213]
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[ 0.39132925]
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[ 0.39578088]
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[ 0.56686617]
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[ 0.22010364]
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[ 1.47138726]
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[ 1.5849044]
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[ 0.93095272]
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[ 0.72365746]
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[ 0.20928802]
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[ 0.4075941]
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[ 1.90339857]
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[ 1.14319867]
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[ 0.38746745]
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[ 0.34015686]
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[ 0.31811155]
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[ 0.0035373]
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[ 1.18222137]
[ 0.78466754  0.48818724  0.59818791  0.18696881  0.39345753  0.16196188
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[ 0.6208647   0.55177745  0.57978181  0.39983855  0.51331556  0.46319538
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[-0.42096506]
[ 0.54798564  0.51857782  0.61080144  0.38405431  0.50242112  0.45404969
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[ 0.68680116]
[ 0.648216    0.59491814  0.54832274  0.51302366  0.26437179  0.37944959
  0.38589326  0.56761985  0.61586447  0.43513052]
Progress: 23.4% ... Training loss: 0.480 ... Validation loss: 0.756[-0.73381418]
[ 0.68596199  0.57530199  0.53669825  0.34831358  0.37758371  0.20079894
  0.51186085  0.77891454  0.43273722  0.34277421]
[ 1.30376926]
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[ 1.93491243]
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[ 0.70749757]
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[ 0.34952899]
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  0.3797837   0.38891608  0.57824316  0.61735102]
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[ 0.18008463]
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[ 0.51702854]
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[ 1.425489]
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[ 0.1590754]
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[ 0.36638496]
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[ 0.06623698]
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[ 0.00012841]
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[ 0.10561038]
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[ 0.57463185]
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[ 1.30607127]
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[ 0.48871609]
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[ 2.42588754]
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[ 1.04056515]
[ 0.2665273   0.56483961  0.44035975  0.53965966  0.43661359  0.74039088
  0.3064805   0.5089351   0.3616956   0.55498548]
[ 0.14054525]
[ 0.27098341  0.58688862  0.61750855  0.5391891   0.56281947  0.75468492
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[ 0.51657486  0.6478886   0.56110676  0.42160346  0.38311637  0.5824161
  0.50000819  0.5269489   0.5083956   0.57144505]
[-0.05808184]
[ 0.45596779  0.4428774   0.49187601  0.4701319   0.46385107  0.44157712
  0.35843804  0.52750045  0.3354079   0.53941781]
[-0.22601097]
[ 0.26100032  0.5222718   0.44195938  0.56651789  0.45507314  0.5316561
  0.41930061  0.44279489  0.51930229  0.45432384]
[ 2.2711639]
[ 0.21785253  0.66083515  0.36812522  0.66065932  0.39885689  0.53750811
  0.45021563  0.44370108  0.657207    0.42644439]
Progress: 23.7% ... Training loss: 0.496 ... Validation loss: 0.837[ 0.15642223]
[ 0.41384527  0.73444158  0.39443202  0.70212372  0.26284413  0.53645547
  0.50723627  0.69853585  0.61709346  0.49031363]
[ 0.00247972]
[ 0.72165367  0.41832781  0.6476921   0.36127088  0.40479511  0.38333056
  0.54595172  0.68390897  0.3495636   0.35407827]
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[ 0.61590045]
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[ 0.21288863]
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[ 1.15380589]
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[ 0.23436581]
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[ 1.37952505]
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[ 0.13438902]
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[ 0.16168589]
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[ 0.24656108]
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[ 0.00313741]
[ 0.48600613  0.55715884  0.44541262  0.66579774  0.46734808  0.51493923
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[ 0.62728825  0.58346174  0.55625892  0.45558365  0.46051326  0.4282424
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[ 0.04686063]
[ 0.36678475  0.61531237  0.43625497  0.41391271  0.40099074  0.53323398
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[ 0.64147328  0.65189312  0.48388008  0.49862734  0.42232173  0.28601933
  0.36328109  0.55498853  0.60600006  0.34907909]
Progress: 24.0% ... Training loss: 0.468 ... Validation loss: 0.766[ 2.64167744]
[ 0.73076803  0.57802957  0.52894006  0.2759063   0.23574029  0.19678478
  0.53415537  0.76346302  0.55591327  0.25612972]
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[ 1.81590191]
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[ 0.71064727]
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[ 0.23280664]
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[ 0.98153984]
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[ 0.09066905]
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[ 1.49772696]
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[ 0.78422073]
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[ 0.02022683]
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[ 0.61917454]
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[ 0.5122484]
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[ 1.53470024]
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[ 0.23888948]
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[ 0.12752375]
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[ 0.06648342]
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[ 1.09387662]
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[ 0.09798457]
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[ 0.93293324]
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[ 1.53552565]
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[ 0.25280997]
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[ 1.23363586]
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[ 0.13145105]
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[ 0.31015511]
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[ 0.28528091]
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[ 0.62699007]
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[ 0.08543973]
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[ 0.13524225]
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[ 0.4363487   0.68474413  0.36049273  0.52171391  0.40531027  0.30917057
  0.43600685  0.47140998  0.54241008  0.41304083]
[ 0.07999197]
[ 0.30585499  0.45554861  0.45129071  0.52312427  0.47062821  0.49998661
  0.4909465   0.4504981   0.46053606  0.34727161]
[ 0.64554147]
[ 0.74544583  0.59340067  0.5111706   0.44393702  0.32670732  0.2759037
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[ 0.61483188  0.54244413  0.57858398  0.29348274  0.41141486  0.48666645
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[ 0.11305751]
[ 0.40021426  0.52289874  0.61403158  0.46347576  0.38124258  0.5982847
  0.46314148  0.57580444  0.45111262  0.51042866]
Progress: 24.3% ... Training loss: 0.467 ... Validation loss: 0.772[ 0.30108711]
[ 0.36406967  0.38641168  0.62567835  0.47499127  0.5014306   0.6937857
  0.37799112  0.45773435  0.29196052  0.55891871]
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[ 0.57814673  0.31154866  0.75835996  0.2460343   0.55560813  0.46050547
  0.54352846  0.46381922  0.29342639  0.4018264 ]
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[ 0.07274239]
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[ 0.50886668]
[ 0.71329865  0.50092488  0.55481725  0.42933362  0.38604997  0.39510124
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[ 1.85501496]
[ 0.80796671  0.55088808  0.5791148   0.20982486  0.37017186  0.26099229
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[ 1.42015345]
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[ 0.30057736]
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[ 0.12733783]
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[ 0.13210776]
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[ 0.59425208]
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[ 0.05731303]
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[ 0.81300481]
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[ 0.25658689]
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[ 0.30161464]
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[ 0.31805659]
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[ 1.5942384]
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[ 0.08497613]
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[ 0.66187648]
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[ 1.00424693]
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[ 0.31796606]
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[ 0.3318064]
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[ 1.37257377]
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[ 0.21511074]
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[ 0.15833872]
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[ 0.89074275]
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[ 1.89823125]
[ 0.65882454  0.69016423  0.42553624  0.50571835  0.24215317  0.26439945
  0.50843816  0.64922158  0.6768089   0.2893111 ]
[ 0.00135483]
[ 0.40470182  0.81178125  0.31499356  0.51259428  0.3713711   0.47962393
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[ 0.38431004  0.52270244  0.36133485  0.5392611   0.51776333  0.74971511
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[ 0.44466148]
[ 0.50168728  0.3703982   0.61673233  0.51360731  0.45374452  0.34348971
  0.42338943  0.6568964   0.41477092  0.27116205]
Progress: 24.6% ... Training loss: 0.478 ... Validation loss: 0.797[ 0.09560877]
[ 0.28641289  0.70838191  0.38867619  0.63333911  0.51236138  0.69227771
  0.35668547  0.48240264  0.51437511  0.66261417]
[ 2.77119171]
[ 0.65285451  0.62711592  0.4615603   0.44301428  0.39306144  0.23282539
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[ 0.99130253]
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  0.37889734  0.46689489  0.64273301  0.3270177 ]
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[ 0.68408871]
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[ 0.45047696]
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[ 2.1741796]
[ 0.75286785  0.54488587  0.55118816  0.40411463  0.32193349  0.3784914
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[ 0.40570019]
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[ 0.0030386]
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[ 0.91293672]
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  0.61879061  0.66175901  0.56563208  0.455172  ]
[ 0.24089595]
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[ 0.40188405]
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[ 0.60354057]
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[ 2.81058443]
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[ 0.01610995]
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[ 2.53892769]
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[ 0.81897687]
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[ 0.12942249]
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[ 1.92777527]
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[ 0.18004535]
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[ 0.80041263]
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[ 0.79756195  0.65654145  0.58550259  0.46211443  0.38870685  0.34065989
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[ 0.84304857  0.50558172  0.58871441  0.31796379  0.27051245  0.22690785
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[ 0.42755134  0.63252632  0.47055271  0.5601581   0.36621375  0.72896571
  0.42554139  0.64237114  0.46039745  0.54836159]
Progress: 24.9% ... Training loss: 0.510 ... Validation loss: 0.751[ 2.04791542]
[ 0.78024684  0.62696777  0.61796638  0.37791921  0.31692618  0.23432003
  0.53596556  0.84736157  0.60264315  0.26392322]
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[ 0.42484738]
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[ 0.04267543]
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[ 0.36302824]
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[ 0.18179507]
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[ 0.25401851]
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[ 0.93662647]
[ 0.82226968  0.61289807  0.6245104   0.26295219  0.3839014   0.28783286
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[ 0.81068476  0.63723547  0.62362461  0.30601865  0.39114     0.27712131
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[-0.41666739]
[ 0.52595976  0.41242763  0.39898631  0.45957482  0.35291207  0.53139944
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[ 0.33952704  0.3882779   0.65585199  0.57443167  0.42317143  0.58060275
  0.42864525  0.37983433  0.52289836  0.43341388]
Progress: 25.1% ... Training loss: 0.483 ... Validation loss: 0.806[ 0.54069854]
[ 0.45653364  0.37655238  0.58310031  0.42346268  0.48154279  0.37066189
  0.42189118  0.38616369  0.40331893  0.38007949]
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[ 0.24990376]
[ 0.27364416  0.59772943  0.45488647  0.49887051  0.4108287   0.72408056
  0.3478247   0.39155385  0.40494491  0.62840929]
[ 0.61368093]
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[ 0.03175541]
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[ 0.28959062]
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[ 1.39443907]
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[ 0.07434295]
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[ 0.22720495]
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[ 0.53305893]
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[ 1.40797599]
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[ 0.43409865]
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[ 1.29429867]
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[ 0.07117504]
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[ 0.09362355]
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[ 0.04313358]
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[ 0.14365829]
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[ 1.53647764]
[ 0.47828779  0.72525094  0.4180548   0.61294733  0.22106363  0.39168946
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[ 1.10108732]
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[ 0.10981581]
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[ 0.10245007]
[ 0.31187136  0.57875434  0.4890939   0.62316925  0.38115949  0.63749603
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[ 0.59015748]
[ 0.38541958  0.67638153  0.34831225  0.69015571  0.49553853  0.65323927
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[ 1.85981462]
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[ 0.45252027  0.47961758  0.5851415   0.4534735   0.50369     0.41491343
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[ 0.48705792  0.70456259  0.42942042  0.6344844   0.32616432  0.52958305
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[ 3.14080403]
[ 0.65507408  0.58860356  0.51263792  0.43034364  0.24249209  0.25022023
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[ 0.4564675   0.63062713  0.42994371  0.57506639  0.30779188  0.44944499
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[ 0.1444852]
[ 0.57759887  0.68648276  0.5000408   0.44745681  0.36625911  0.42675226
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[ 2.85332931]
[ 0.68892981  0.47594522  0.48325338  0.34679359  0.26813388  0.2421483
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[ 0.4268045   0.34522436  0.63743084  0.41580345  0.51307406  0.70392465
  0.38809505  0.44513357  0.31272889  0.55468079]
[-0.40959045]
[ 0.4390668   0.35981294  0.58906391  0.55025514  0.53439369  0.39117965
  0.4528147   0.40202367  0.28603467  0.62969118]
[-0.11443981]
[ 0.3604113   0.74463427  0.40758256  0.61648844  0.33320128  0.59728059
  0.34544808  0.4977399   0.54946018  0.62593327]
[-0.34997703]
[ 0.66880596  0.541698    0.48790167  0.38531381  0.49978825  0.56904183
  0.52237337  0.52903109  0.3904632   0.48651578]
[-0.12859312]
[ 0.3215184   0.74083248  0.27239884  0.66320504  0.39472911  0.57674234
  0.46625616  0.57591573  0.63405598  0.36405153]
[-0.34604218]
[ 0.42227928  0.37725659  0.57769449  0.30382812  0.64169172  0.68594293
  0.39354391  0.58795315  0.34838365  0.55637333]
Progress: 25.4% ... Training loss: 0.457 ... Validation loss: 0.731[-0.40069868]
[ 0.31054598  0.63532093  0.43786827  0.6273572   0.27666264  0.56491824
  0.46237539  0.53294482  0.52227321  0.47013807]
[ 1.61823102]
[ 0.85565486  0.6527239   0.5105263   0.27793045  0.23394276  0.12158349
  0.525952    0.72382255  0.62132763  0.30340166]
[ 0.64528113]
[ 0.39491215  0.47821382  0.63922788  0.4399707   0.50482685  0.47130903
  0.44453652  0.45515218  0.51391108  0.45305782]
[ 0.25085132]
[ 0.59904338  0.43289795  0.54152566  0.4573774   0.40448028  0.35401244
  0.50994867  0.6090475   0.52420635  0.34369898]
[ 0.30377125]
[ 0.25190359  0.73878671  0.4430101   0.6890003   0.44590724  0.69255226
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[ 0.01084088]
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  0.51220116  0.72782548  0.54552231  0.32428567]
[ 0.35350665]
[ 0.22474065  0.62575033  0.44204405  0.59400474  0.45668124  0.67017758
  0.33167466  0.43429016  0.38601367  0.63579408]
[ 0.16093238]
[ 0.279972    0.43920552  0.54287556  0.67655442  0.48823235  0.60003807
  0.34618522  0.34413662  0.53324509  0.38694117]
[ 0.22980362]
[ 0.30998096  0.6356779   0.41806131  0.71324484  0.40916345  0.72441426
  0.38099577  0.37625677  0.44767183  0.61260836]
[ 0.79591003]
[ 0.64996355  0.62325423  0.5399972   0.54997738  0.48717433  0.37339803
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[-0.13614307]
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[-0.44134009]
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[ 0.84853215  0.78152303  0.53405755  0.29761411  0.35163932  0.34790187
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[ 0.14498088]
[ 0.31898845  0.64172704  0.47863227  0.60275456  0.54883003  0.75919384
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[ 0.29959319]
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  0.4453476   0.50572379  0.59532323  0.66057539]
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[-1.10851788]
[ 0.58351597  0.27583796  0.7465472   0.24769146  0.55823342  0.41437104
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[ 0.35640763]
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[ 0.44660413]
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[-0.20163498]
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[ 1.44908426]
[ 0.53198286  0.66124932  0.40117088  0.64567711  0.28251957  0.34937855
  0.42348344  0.47462816  0.58784523  0.32522846]
[ 0.49697252]
[ 0.31102314  0.67909098  0.34697611  0.4005053   0.42866369  0.54430793
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[ 0.02133093]
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[ 0.42495652]
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[ 1.3944164]
[ 0.76365773  0.37728495  0.6508612   0.29269771  0.3967766   0.27880299
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[ 0.36566126]
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[ 0.02610448]
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[ 0.96933284]
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[ 0.00805646]
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[ 0.72558137]
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[ 0.26294198]
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[ 0.38602676]
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[ 0.9437152]
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[ 1.23885961]
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[ 0.52109133]
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[ 0.03447467]
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[ 0.83872363]
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[ 2.16973607]
[ 0.42316108  0.65173421  0.4634958   0.58791971  0.43435226  0.43355436
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[ 0.84119955]
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[ 2.52153079]
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[ 0.66115238]
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[ 0.28508583]
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[ 0.51271793]
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[ 0.27842463]
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[ 1.36601902]
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[ 0.09750367]
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[ 0.58188312]
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[ 0.12811105]
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[ 1.15273951]
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[ 1.71964464]
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[ 0.10456375]
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[ 0.09489275]
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[ 0.91784317]
[ 0.32222623  0.7139225   0.34849194  0.68941222  0.41604351  0.69705848
  0.41919506  0.45407578  0.6380108   0.61722394]
[ 0.281989]
[ 0.46768327  0.22406867  0.66302113  0.49357101  0.49571088  0.45361781
  0.41684255  0.45634459  0.33828818  0.54483413]
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[ 0.5518345   0.55000865  0.62155809  0.37533731  0.52789177  0.56851464
  0.38878734  0.67598876  0.42055135  0.57139925]
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[ 0.31858192  0.38540465  0.51252958  0.35104186  0.47654692  0.46829386
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[ 0.48962554  0.3877243   0.61456747  0.35887482  0.46506188  0.50420871
  0.49714717  0.65908132  0.28563997  0.41085913]
Progress: 25.7% ... Training loss: 0.457 ... Validation loss: 0.727[ 2.36446212]
[ 0.69730337  0.50952844  0.54874684  0.28899804  0.24522907  0.21255039
  0.51910955  0.74643006  0.51345067  0.2488204 ]
[ 2.16973073]
[ 0.82699743  0.6862366   0.58879861  0.33214927  0.31557062  0.27737177
  0.61616653  0.81102651  0.59717469  0.30289667]
[ 0.04984413]
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  0.44662476  0.37277726  0.41683076  0.63055562]
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[ 0.52593281]
[ 0.63273743  0.55754893  0.50753185  0.57295148  0.30363423  0.2905062
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[ 0.6927988   0.62364353  0.54342064  0.45528152  0.30458329  0.33671434
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[ 1.78109067]
[ 0.39033251  0.69476365  0.40245826  0.59597389  0.44996864  0.61496244
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[ 0.51165774]
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[ 0.1174407]
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[ 0.080006]
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[ 0.53012461]
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[ 0.35627888]
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[ 0.3033457]
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[ 0.15627809]
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[ 0.63060934]
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[ 0.41118608]
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[ 1.24167899]
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[ 0.20453482]
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[ 0.57107223]
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[ 0.38366251]
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[ 0.32503796]
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[ 0.10288214]
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[ 1.75520366]
[ 0.58934329  0.49793645  0.55432415  0.39474118  0.36880225  0.28195628
  0.48574259  0.74754034  0.4151721   0.27618347]
[ 0.29396909]
[ 0.3219318   0.63258845  0.48620458  0.64201852  0.49712281  0.50071769
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[-1.04959583]
[ 0.73844241  0.62841073  0.57874448  0.43767632  0.43764761  0.27490598
  0.50206398  0.67661823  0.60158451  0.28236736]
[ 0.47078909]
[ 0.369381    0.59793661  0.53298278  0.48800659  0.40087725  0.60947119
  0.50467095  0.62558659  0.40941845  0.48393951]
Progress: 26.0% ... Training loss: 0.449 ... Validation loss: 0.732[-0.57172151]
[ 0.69042267  0.66134357  0.48715166  0.54763145  0.1894826   0.23593189
  0.42356188  0.67262079  0.59303513  0.27595683]
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[ 0.0694413]
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[ 1.82442354]
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  0.66839631  0.65723956  0.55617301  0.52310467]
[-0.25469209]
[ 0.68277808  0.57603691  0.49956918  0.5741519   0.44290887  0.33577644
  0.42722071  0.62179386  0.61214626  0.39344472]
[ 0.09102187]
[ 0.44624549  0.64646914  0.42531136  0.44310709  0.43331221  0.68471128
  0.38869703  0.53528825  0.49423958  0.64624906]
[ 1.11078829]
[ 0.53059625  0.70316736  0.47556078  0.52797281  0.31608792  0.61507041
  0.43003473  0.61768551  0.56051049  0.58951135]
[-0.06797642]
[ 0.30759921  0.48821362  0.49364686  0.46406045  0.51944497  0.69805039
  0.3919531   0.60993019  0.47879495  0.55871742]
Progress: 26.3% ... Training loss: 0.457 ... Validation loss: 0.719[ 1.31407269]
[ 0.37878853  0.49217559  0.5449179   0.45675925  0.45401383  0.43715098
  0.48393524  0.5152439   0.50929989  0.36435314]
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  0.41803513  0.50906754  0.34890032  0.49735343]
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[ 0.62724387  0.38483056  0.67800319  0.43312236  0.37465087  0.34873093
  0.53099236  0.57782162  0.46258581  0.31792688]
[ 0.41864153]
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[ 0.26004044]
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[ 0.64414482]
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[ 0.16710203]
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[ 0.32607888]
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[ 0.26522475]
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[ 0.69274134]
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[ 0.90144446]
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[ 0.22371867]
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[ 0.88139491]
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[ 0.05996172]
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[ 0.35968786]
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[ 0.0966327]
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[ 0.12447047]
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[ 2.05587536]
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[ 0.46726465]
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[ 0.5935651]
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[ 1.00956001]
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[ 0.13388358]
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[ 0.07820372]
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[ 0.59086502]
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[ 0.01021083]
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[ 0.67084665]
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[ 0.06401378]
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[ 0.12218243]
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[ 0.19562414]
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[ 0.02418007]
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[ 0.49624137]
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[ 0.408063    0.66367978  0.41994208  0.6214051   0.37024246  0.52903895
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[-1.00322225]
[ 0.45784978  0.60165209  0.45256953  0.63182675  0.39833273  0.43550405
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[ 0.73824548  0.62165789  0.46364953  0.53158805  0.26000707  0.26590963
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[ 0.70985376  0.68611375  0.49767401  0.23912577  0.36421341  0.23747096
  0.52925118  0.64422306  0.65602376  0.37328577]
Progress: 26.6% ... Training loss: 0.444 ... Validation loss: 0.716[-0.86423989]
[ 0.52156717  0.70940296  0.42016338  0.61578761  0.28360459  0.39004903
  0.39027679  0.47712963  0.62593356  0.55426458]
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[ 0.04201699]
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[ 0.31753595]
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[ 0.3206318]
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[ 0.02078504]
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[ 0.5706004]
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[ 0.01197268]
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[ 0.12278283]
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[ 0.48135626]
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[ 0.1654907]
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[ 1.77859876]
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[ 1.68267506]
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[ 0.40255536]
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[ 2.42013984]
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[ 0.62819016]
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[ 0.13630435]
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[ 0.4776253]
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[ 0.90500074]
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[ 0.06330058]
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[ 0.04066979]
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[ 1.29533622]
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[ 1.16157534]
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[ 0.00141372]
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[ 1.77859876]
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[ 1.03321965]
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[ 0.4506125]
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[ 0.00404114]
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[ 1.02720706]
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[ 0.0839036]
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[ 0.05218567]
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[ 2.2869895]
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[ 0.64701276]
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[ 0.03959278]
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[ 1.84082385]
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[ 0.00468679]
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[ 0.52433929]
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[ 0.09290605]
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[ 0.1501781]
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[ 0.10569283]
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[ 1.00404827]
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[ 0.76131874]
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[ 0.29727842]
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[ 1.00705629]
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[ 1.34309471]
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[ 0.34969026]
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[ 0.96009987]
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[ 1.10781972]
[ 0.60593554  0.75852864  0.5233052   0.45640861  0.34506678  0.58822918
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[ 0.77655152]
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[ 0.29676129]
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[ 0.90851148]
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[ 0.51425243]
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[ 0.29983266]
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[ 0.35727462]
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[ 1.96338413]
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[ 0.16697606]
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[ 0.48762195]
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[ 0.67054079  0.41474493  0.62343631  0.45224113  0.54742015  0.38992608
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[ 0.31233255  0.16868933  0.72485578  0.40876069  0.60482803  0.46841073
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[ 0.82588143  0.49346593  0.61018703  0.31584213  0.39297599  0.39130618
  0.52055948  0.77965866  0.54032561  0.35447672]
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[ 0.2882877   0.54673098  0.41334003  0.60238316  0.46913084  0.54572274
  0.44956638  0.52590902  0.42322966  0.55248224]
[-0.41154181]
[ 0.70084315  0.52399938  0.57808764  0.37332861  0.38298619  0.31911982
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[-0.13320709]
[ 0.63945062  0.62700984  0.4967807   0.55733962  0.4033521   0.39255474
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[ 0.42942515  0.54023473  0.50167769  0.41863697  0.37160382  0.42813225
  0.42719956  0.65477042  0.45083203  0.34893449]
Progress: 26.9% ... Training loss: 0.450 ... Validation loss: 0.705[-0.03979757]
[ 0.43217595  0.58112227  0.59843259  0.55077815  0.62480566  0.71902496
  0.44051186  0.45897837  0.44811475  0.64365567]
[ 0.71074763]
[ 0.44861791  0.74050021  0.43560588  0.60257641  0.34191936  0.53690266
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  0.49968963  0.62957078  0.48367588  0.38222023]
[ 0.27699694]
[ 0.66143008  0.35016428  0.66536294  0.26084563  0.3698717   0.3610406
  0.54709825  0.68472734  0.36246684  0.26294759]
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[ 0.02493064]
[ 0.37516157  0.67574088  0.46980561  0.74110017  0.43131148  0.6678904
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  0.56304482  0.59269214  0.52836528  0.55937639]
[-0.38778255]
[ 0.29692354  0.43070123  0.44200272  0.3832256   0.48816554  0.53105555
  0.43910378  0.50309048  0.43237812  0.38235584]
[ 0.80511916]
[ 0.53171502  0.65327222  0.49589274  0.53939167  0.35810333  0.46981433
  0.54487186  0.64371616  0.58080503  0.37169205]
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[-0.45191414]
[ 0.37485723  0.42642709  0.44219441  0.61375946  0.48314078  0.55203976
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[-0.25406528]
[ 0.2942366   0.56708681  0.37748239  0.44848382  0.53804441  0.58891069
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[ 0.26916477  0.65835247  0.44429041  0.61018863  0.49937809  0.77569746
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[-0.02402356]
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  0.44987056  0.61698513  0.59540509  0.2614071 ]
[-0.38055044]
[ 0.50586945  0.63893121  0.45355947  0.43850331  0.48206574  0.33104077
  0.42718797  0.54666918  0.58503063  0.58469993]
[ 0.12406485]
[ 0.24178665  0.50456351  0.52719386  0.56249228  0.51106565  0.66333313
  0.38917733  0.28974507  0.41333623  0.57924198]
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[-1.11728724]
[ 0.57030174  0.75373468  0.40526601  0.63388648  0.30661798  0.38981834
  0.35410957  0.54523627  0.59859503  0.43183451]
[ 0.79965107]
[ 0.46521512  0.34642832  0.64163661  0.39984699  0.45517602  0.53191093
  0.45348406  0.55145712  0.42366013  0.33514883]
[-0.52209026]
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[-0.54549552]
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[-0.67034234]
[ 0.41543789  0.7783052   0.319194    0.59606163  0.38248158  0.48352291
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[ 0.10180174]
[ 0.24750848  0.30077206  0.62534548  0.60814958  0.44183705  0.6496767
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[ 0.14788023]
[ 0.27990308  0.58577844  0.512905    0.42223114  0.49152053  0.72770511
  0.40054384  0.35844266  0.43814669  0.6433747 ]
[-1.30868807]
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[-0.31084743]
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[ 0.53491372]
[ 0.74420249  0.60281457  0.58785037  0.37179525  0.44610109  0.42613822
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[ 0.91154417]
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[ 0.47112462]
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[ 0.32913551]
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  0.45144267  0.57264002  0.54722051  0.46813681]
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[ 0.33708962  0.58569181  0.37728829  0.60458485  0.36338917  0.56077845
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[-1.06418624]
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  0.50239002  0.62884501  0.60598056  0.49450668]
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[ 0.33152092  0.721879    0.37032851  0.56249882  0.39975791  0.62619196
  0.50795294  0.69220954  0.47496326  0.51273365]
[ 1.4979101]
[ 0.59551761  0.50003708  0.54727097  0.34148805  0.435742    0.49368429
  0.4711111   0.7002543   0.56877346  0.36560005]
[ 0.6543273]
[ 0.61750142  0.71350628  0.55836956  0.46557108  0.36490722  0.5060137
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[ 1.53208483]
[ 0.50060492  0.79073263  0.44854954  0.58812146  0.37017162  0.40837097
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[ 0.64668114  0.49628151  0.59464819  0.29498772  0.424586    0.39090263
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[ 1.12187758]
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[ 0.56701079]
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[ 0.60278618]
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[ 1.08418601]
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[ 0.01557647]
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[ 0.14353551]
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[ 0.68627493]
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[ 0.30974852]
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[ 2.55839194]
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[ 0.73635265]
[ 0.56239126  0.50732003  0.60053489  0.49647138  0.28265024  0.48067867
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[ 0.72771331  0.68819819  0.54215403  0.37648322  0.2923691   0.28501346
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[-0.16633936]
[ 0.42845423  0.63689087  0.41557809  0.5106118   0.42577432  0.48837037
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[ 0.79938609  0.73278098  0.50167247  0.26874583  0.23496334  0.22078735
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[-0.23408723]
[ 0.42013414  0.66401535  0.45684819  0.60201449  0.3568526   0.53164647
  0.33355079  0.47678148  0.48159752  0.57259597]
Progress: 27.1% ... Training loss: 0.445 ... Validation loss: 0.730[-0.09814296]
[ 0.34132901  0.25946576  0.68486037  0.28485327  0.50046007  0.62459188
  0.51257635  0.37095348  0.3219247   0.41378461]
[ 0.67893817]
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[ 0.9297049]
[ 0.64650747  0.62300125  0.53995888  0.54987338  0.48810972  0.3788201
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[ 0.19221755]
[ 0.27561562  0.6423751   0.36672904  0.67417758  0.51049256  0.67407865
  0.46934772  0.38154158  0.42682687  0.63840239]
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  0.50525055  0.52805626  0.65725169  0.49077754]
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  0.46172212  0.52630293  0.50736406  0.49352258]
[ 0.3253718]
[ 0.48458799  0.47831996  0.56610651  0.39858763  0.42115982  0.38538309
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[ 0.35081127  0.50430055  0.57789545  0.44312267  0.4808755   0.63505863
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[-0.43723767]
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[ 0.36218744]
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  0.52051572  0.756065    0.72559252  0.32052129]
[ 0.71331302]
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  0.51257635  0.37095348  0.3219247   0.41378461]
[ 1.4079036]
[ 0.75982851  0.56907944  0.54675712  0.33110142  0.3980648   0.28174647
  0.5212199   0.60974843  0.52430072  0.31127285]
[ 1.9255559]
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  0.4948747   0.75252067  0.55151062  0.24172428]
[ 1.21849987]
[ 0.7463815   0.57023793  0.53889665  0.41366631  0.21613778  0.21829136
  0.51647009  0.73496723  0.56691111  0.2427569 ]
[ 0.99002562]
[ 0.41068118  0.61720206  0.45638302  0.6291062   0.48712202  0.50322442
  0.40419164  0.48898573  0.60945644  0.45487056]
[-0.22790843]
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[ 1.51890054]
[ 0.6400011   0.60529341  0.60701024  0.33904943  0.47935823  0.37644875
  0.52023444  0.65386148  0.48812591  0.43271551]
[ 1.03125924]
[ 0.63995217  0.65581653  0.44496601  0.5561874   0.32591719  0.2245962
  0.43073755  0.6178276   0.55000343  0.46649768]
[ 0.03918142]
[ 0.43704626  0.38705418  0.65400167  0.46974723  0.54625401  0.5753901
  0.40216812  0.45969185  0.36553483  0.44031337]
[ 0.25502033]
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[ 0.40497176]
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[ 0.24005909]
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[ 0.42268309]
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[ 1.08520546]
[ 0.4951128   0.65231985  0.4040815   0.53629765  0.29218835  0.29131308
  0.41693348  0.54416773  0.59601438  0.35953612]
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[ 0.57326432  0.54635066  0.56353527  0.29653717  0.44234051  0.55278944
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[ 0.42620158  0.6938802   0.34315441  0.66887186  0.43228459  0.6506806
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[ 0.51406183  0.37168783  0.62347354  0.40770547  0.47169327  0.44525935
  0.48632592  0.59395864  0.39500923  0.43397864]
Progress: 27.4% ... Training loss: 0.455 ... Validation loss: 0.715[ 0.06603702]
[ 0.23915123  0.53021267  0.45977944  0.65915904  0.53647437  0.76804844
  0.50041872  0.4103544   0.4674853   0.60305563]
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[ 0.04674695]
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[ 1.44201036]
[ 0.79361858  0.42322788  0.60169699  0.40908002  0.36456744  0.36898388
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[ 0.29512954]
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[-0.64905371]
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[ 0.0371395]
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[ 0.44735675]
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[-0.69326652]
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[ 0.61743335  0.68753916  0.46178492  0.43136889  0.37339713  0.25391045
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[ 2.1004401]
[ 0.79230849  0.60043533  0.52119905  0.28109364  0.31369584  0.16976083
  0.50045729  0.70850784  0.6099324   0.23765134]
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[ 0.55635669  0.5457355   0.52600239  0.48974817  0.29093543  0.26555926
  0.51605209  0.63879712  0.47662226  0.3437571 ]
[ 0.62295293]
[ 0.66033651  0.63944823  0.48309687  0.5058053   0.27894435  0.31652446
  0.47241077  0.55700842  0.57593613  0.49889431]
[-0.44961639]
[ 0.73625656  0.64553677  0.52968839  0.37137171  0.37245503  0.24176102
  0.44005118  0.65756458  0.67225234  0.33938706]
[-0.78131433]
[ 0.41925276  0.73078395  0.3705106   0.57544701  0.38851738  0.58309094
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[ 0.28264298  0.7531866   0.36800222  0.60620972  0.38879015  0.74546451
  0.39303457  0.44300381  0.57279547  0.6701568 ]
Progress: 27.7% ... Training loss: 0.434 ... Validation loss: 0.708[ 0.20939253]
[ 0.20765069  0.66158442  0.42142229  0.63557681  0.45221016  0.73033163
  0.33588323  0.38333022  0.4995292   0.57531648]
[ 1.1536483]
[ 0.6722339   0.59669963  0.58897528  0.51067143  0.37834319  0.51213393
  0.42353128  0.59920816  0.47416356  0.45343714]
[ 1.768484]
[ 0.66803039  0.68643133  0.43135253  0.49354015  0.23574195  0.26157771
  0.51934738  0.65715327  0.68497057  0.28116405]
[ 1.13606327]
[ 0.61643162  0.5993727   0.56401798  0.57775509  0.455356    0.46380579
  0.53014108  0.54049092  0.53566726  0.43096085]
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[ 0.44607248  0.30934966  0.62147027  0.3490097   0.52190855  0.58405236
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[ 1.97365378]
[ 0.84466515  0.57890721  0.64385436  0.2154173   0.40015517  0.21846223
  0.59129253  0.802       0.61072297  0.25505684]
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[ 0.77754925]
[ 0.67367817  0.57916779  0.61150402  0.44677503  0.45286452  0.33447282
  0.41428956  0.67502802  0.4805197   0.37652855]
[ 0.35728987]
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[ 0.6287184   0.6431335   0.42253397  0.47118645  0.30012097  0.20538723
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[ 0.14287355]
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  0.63360221  0.65469304  0.55298396  0.34643379]
[ 0.50166932]
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[ 0.19059954]
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[ 0.44808871]
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[ 2.34381283]
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[ 0.34601567]
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[ 0.54570182]
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[ 0.00395439]
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[ 1.39176122]
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[ 1.1178438]
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[ 0.19077123]
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[ 0.20743468]
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[ 0.14950453]
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[ 0.55983581]
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[ 0.15587815]
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[ 0.37572678]
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[ 0.11176438]
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[ 1.93225214]
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[ 0.30329801]
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[ 1.29929939]
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[ 0.99603986]
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[ 0.30423713]
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[ 0.31371801]
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[ 0.04257356]
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[ 1.26477419]
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[ 0.00287312]
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[ 1.44261202]
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[ 0.18503439]
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[ 2.39717201]
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[ 0.20260714]
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[ 0.04091344]
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[ 0.01460873]
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[ 0.63763642]
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[ 0.09981276]
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[ 0.2083405]
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[ 0.28297337]
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[ 1.245246]
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[ 0.2859294]
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[ 0.12026933]
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[ 0.31228618]
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[ 0.26312212]
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[ 0.24581284]
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[ 0.09918408]
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[ 0.1006984]
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[ 0.15592972]
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[ 0.23920701]
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  0.37072751  0.35885895  0.4442017   0.69449353]
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[ 0.45102357  0.69615268  0.51951425  0.45289448  0.65438936  0.59503245
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[ 0.37285223  0.47015696  0.54491474  0.36977276  0.61901938  0.63869306
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[ 0.17150114]
[ 0.55952403  0.81117051  0.41001847  0.59638372  0.37227595  0.51528901
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[ 0.18097042]
[ 0.5047569   0.82255548  0.27695098  0.65669528  0.24989767  0.52210922
  0.357304    0.48799065  0.61070693  0.67796475]
Progress: 28.0% ... Training loss: 0.434 ... Validation loss: 0.693[-0.32988615]
[ 0.55857952  0.66832669  0.4729482   0.54522455  0.25406797  0.41400842
  0.5426964   0.59128604  0.6098734   0.4756052 ]
[ 0.06741149]
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  0.42670451  0.58517364  0.45582814  0.3703035 ]
[ 1.72542053]
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  0.58749938  0.68551704  0.63005545  0.47573766]
[ 0.36610582]
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[ 0.5141499]
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  0.42501953  0.56059339  0.60120859  0.54704162]
[ 1.02969993]
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[ 0.15030555]
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[ 0.64480707]
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[ 0.45308674]
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[ 0.91791145]
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[ 0.36484298]
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[ 0.04635244]
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[ 0.0617189]
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  0.33173722  0.40918816  0.34794927  0.47758264]
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[ 0.78287692]
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[ 0.43650777]
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[ 0.22494268]
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[ 0.20452802]
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[ 0.67102283]
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[ 0.26401979]
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[ 0.60529708]
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[ 0.08516506]
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[ 0.07299374]
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[ 0.13757856]
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[ 0.92137835]
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[ 0.00715932]
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[ 1.03865772]
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[ 1.24611257]
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[ 0.07737457]
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[ 0.07786831]
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[ 0.34503741  0.46519574  0.59969175  0.48300805  0.44422197  0.54736449
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[ 0.47862868  0.37382385  0.57857933  0.34113181  0.45414876  0.4510948
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[ 0.3088485]
[ 0.6714718   0.55265384  0.54399267  0.48570229  0.47253329  0.34038695
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[ 0.04792478]
[ 0.25295295  0.53526494  0.53320277  0.67107571  0.31003905  0.46016201
  0.38899611  0.58165762  0.46146526  0.42036391]
Progress: 28.3% ... Training loss: 0.431 ... Validation loss: 0.702[ 0.11291309]
[ 0.52526578  0.63338098  0.54517157  0.38801184  0.37120761  0.46142884
  0.60870297  0.58670899  0.59991885  0.53631184]
[ 2.38862297]
[ 0.69577494  0.50780957  0.55198819  0.28646503  0.24268974  0.22067941
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[ 0.92980755]
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  0.39510783  0.54376271  0.57849214  0.43879241]
[ 0.4993609]
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[ 0.04763131]
[ 0.31426506  0.47408812  0.41038907  0.45296878  0.52297074  0.65691381
  0.3744242   0.32769689  0.32217581  0.55703447]
[ 2.0300925]
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[ 0.73728802]
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[ 0.61702303]
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[ 0.14413321]
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[ 0.21949771]
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[ 0.09995414]
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[ 0.68572153]
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[ 1.27142604]
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[ 0.25351123]
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[ 1.7858414]
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[ 0.02884113]
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[ 0.51633513]
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[ 0.12485183]
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[ 1.45107603]
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[ 0.01897314]
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[ 0.24974936]
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[ 0.40929553]
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[ 1.03452521]
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[ 0.41779007]
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[ 0.3811198]
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[ 0.26498702]
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[ 0.17363964]
[ 0.52962977  0.65135353  0.47839851  0.57440185  0.27776574  0.53735627
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[ 0.46621367  0.72336181  0.43906365  0.46094489  0.37379845  0.6115858
  0.39351822  0.53521559  0.62543478  0.62173534]
[ 1.56238257]
[ 0.8452554   0.6165921   0.61744821  0.34249967  0.43324461  0.28370404
  0.51241008  0.71697162  0.64643718  0.31149748]
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[ 0.63998827  0.43485764  0.52801645  0.48912983  0.46793626  0.69783425
  0.50778985  0.62087754  0.30283525  0.47630586]
Progress: 28.6% ... Training loss: 0.427 ... Validation loss: 0.685[-0.32778942]
[ 0.6916933   0.65105183  0.63212434  0.49489533  0.53091403  0.38420769
  0.47253235  0.61837748  0.59141313  0.5849959 ]
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[ 0.55087355]
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[ 0.40779447]
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[ 0.34943726]
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[ 0.19846767]
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[ 1.10942526]
[ 0.40016079  0.7691142   0.37671213  0.57649531  0.31770036  0.63316965
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[ 1.52948058]
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[ 0.46674267  0.63244012  0.46451606  0.60342232  0.40901964  0.45966325
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[-0.65878463]
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[ 0.10236667]
[ 0.36175765  0.33292417  0.62886464  0.40817357  0.55213303  0.47009063
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[-0.44101291]
[ 0.42806129  0.3365702   0.70957413  0.34823122  0.55856785  0.55736149
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[ 1.54302473]
[ 0.4116121   0.56861759  0.45279838  0.54223925  0.42582813  0.4524655
  0.43353229  0.54361659  0.45759903  0.42385333]
[ 0.2509326]
[ 0.51948398  0.70516885  0.52390123  0.64805708  0.49378769  0.59249883
  0.3637373   0.51501084  0.47176964  0.69967251]
Progress: 28.9% ... Training loss: 0.423 ... Validation loss: 0.686[-0.50219081]
[ 0.43437814  0.50235712  0.562172    0.52769767  0.47530504  0.54660543
  0.40275507  0.40983383  0.44810209  0.45655789]
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[ 0.83665245]
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[ 0.8381798]
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  0.58868963  0.74096954  0.490576    0.31270687]
[ 0.21331963]
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[ 0.17575459]
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  0.48029278  0.41063598  0.47467315  0.66015483]
[ 0.46902822]
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[ 0.21622299]
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[ 0.3565958]
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[ 0.17717948]
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[ 0.02927422]
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[ 0.11666052]
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[ 0.16380263]
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[ 0.48711639]
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[ 1.83791333]
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[ 1.17057676]
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  0.49625481  0.59626455  0.66334246  0.42939749]
[-0.69447091]
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[ 0.85079389]
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[ 1.18807969]
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[ 0.7853712]
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[ 0.72385103]
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[ 0.20603722]
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[ 0.28123604]
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[ 0.07176021]
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[ 0.12806378]
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[ 0.33336899]
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[ 0.55311273]
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[ 0.45947993]
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[ 1.09885598]
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[ 1.20233253]
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[ 0.21741364]
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[ 0.32079057]
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[ 0.42842828]
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[ 0.07182176]
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[ 0.65600312]
[ 0.56902634  0.65102852  0.52869667  0.62356698  0.43587778  0.45968777
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[ 2.39083222]
[ 0.78870341  0.59209236  0.54310731  0.26790866  0.26321506  0.25239644
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[ 0.06906382]
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[ 1.05682066]
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[ 0.51833413]
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[ 0.94506462]
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[ 0.81379148]
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[ 0.6598944]
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[ 0.72146237  0.67158183  0.51395182  0.30142015  0.38474294  0.22098661
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[ 0.46531748]
[ 0.43479845  0.32817624  0.5736145   0.37500326  0.55698201  0.53587112
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[ 0.87713941  0.62624161  0.60139238  0.34306816  0.41168778  0.2514306
  0.53515438  0.76119774  0.56315837  0.36788421]
[ 1.64757796]
[ 0.79549573  0.73770331  0.56890134  0.33661132  0.36542463  0.37922174
  0.5385774   0.63752552  0.69578055  0.39756003]
[ 1.65813684]
[ 0.77289523  0.55158423  0.63381226  0.27641534  0.43490895  0.29760423
  0.54298272  0.58227775  0.54844099  0.30597722]
[ 0.19725901]
[ 0.7142608   0.43671249  0.59277863  0.34295184  0.45653205  0.37225615
  0.54497895  0.65253118  0.39385387  0.41170619]
[ 0.37977074]
[ 0.3086705   0.69024086  0.4219457   0.45184161  0.40064258  0.65884567
  0.37457214  0.45759513  0.43277631  0.62981638]
[ 1.52770369]
[ 0.61828253  0.81107444  0.3037835   0.51564624  0.23841062  0.28119364
  0.57531206  0.7468105   0.69379598  0.3009209 ]
Progress: 29.1% ... Training loss: 0.420 ... Validation loss: 0.682[ 0.10869115]
[ 0.51267492  0.74117037  0.39328148  0.6730386   0.3219446   0.38904051
  0.58074517  0.70081833  0.59677244  0.66605681]
[ 0.11174135]
[ 0.36351427  0.74803234  0.39332677  0.719121    0.32597913  0.69713185
  0.38893158  0.40561171  0.59601528  0.66195048]
[-1.15665605]
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  0.47342948  0.61618347  0.56921937  0.29017999]
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  0.56921564  0.62724462  0.54348091  0.4925373 ]
[ 0.58572599]
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  0.50854112  0.77060579  0.62154427  0.32354407]
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[ 0.97707443]
[ 0.68926563  0.31049638  0.66451212  0.36299669  0.48413441  0.53302855
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[ 1.6641051]
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  0.51507082  0.78313685  0.55076127  0.2265471 ]
[ 0.3237]
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  0.35088435  0.40229057  0.47996934  0.72941502]
[ 0.08616921]
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  0.5598118   0.73117737  0.63006304  0.29212739]
[ 0.06679955]
[ 0.49631422  0.70901491  0.54099043  0.66897208  0.46258221  0.5951512
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[ 0.16746834]
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[ 0.06046113]
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[ 0.43466271]
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[ 0.09402558]
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[ 1.43457651]
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[ 0.48877732]
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[ 0.23222044]
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[ 0.31477476]
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[ 0.851861]
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[ 0.37983331]
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[ 1.08107218]
[ 0.53121689  0.65551165  0.3791297   0.55029531  0.28257023  0.38811971
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[ 0.36498305]
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[ 0.37234094]
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[ 0.05958234]
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[ 1.06963973]
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[ 1.80163503]
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[ 2.80132853]
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[ 0.11509915]
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[ 0.56325486]
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[ 0.12915619]
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[ 0.59577877]
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[ 0.72992981]
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[ 0.45635885]
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[ 0.3139586]
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[ 0.07780367]
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[ 0.26600754]
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[ 0.04823672]
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[ 0.06271597]
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[ 0.42330796]
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[ 0.30607586]
[ 0.51846603  0.40783781  0.62907339  0.27821656  0.46970901  0.49951398
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[ 0.86951836]
[ 0.86550666  0.43457765  0.71991514  0.13644158  0.44128956  0.33251835
  0.67020322  0.72682004  0.4616918   0.33998501]
[ 1.02401598]
[ 0.64944398  0.46315694  0.62458738  0.34217208  0.37052384  0.37136531
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[ 0.5922652   0.63580167  0.61246891  0.45781944  0.44148787  0.51601507
  0.43874235  0.6306517   0.47966016  0.47325954]
[ 0.58260998]
[ 0.36391009  0.4513002   0.46434696  0.59679194  0.53526562  0.7207953
  0.44767082  0.4734887   0.38734775  0.53766972]
Progress: 29.4% ... Training loss: 0.431 ... Validation loss: 0.702[ 0.5152707]
[ 0.52748567  0.67954721  0.46075977  0.69488941  0.52194417  0.56983506
  0.51617467  0.56798526  0.56386857  0.49833417]
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[ 0.62417754]
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[ 0.12053118]
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[ 0.01752758]
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[ 0.35553073]
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[ 0.09676795]
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[ 0.19925438]
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[ 0.32516056]
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[ 0.8435061]
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[ 0.06867367]
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[ 0.15576009]
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[ 1.26099898]
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[ 0.51839843]
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[ 0.40749262]
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[ 0.20757488]
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[ 1.38187603]
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[ 0.21060778]
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[ 0.78398041]
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[ 0.62319934]
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[ 0.14427094]
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[ 0.65060705]
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[ 0.48069572]
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[ 0.41506326]
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[ 0.88683326]
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[ 0.49083345]
[ 0.31348662  0.66858224  0.30840435  0.64142348  0.42043114  0.70251052
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[ 1.19502121]
[ 0.64890894  0.50130475  0.59080441  0.44555398  0.32606653  0.30808981
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[ 0.2412873]
[ 0.35808754  0.46872952  0.60020514  0.31108063  0.54187815  0.45365277
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[ 1.12454741]
[ 0.71884196  0.5523634   0.53961677  0.52740918  0.33081675  0.35735039
  0.54267868  0.7621111   0.44329269  0.4641264 ]
Progress: 29.7% ... Training loss: 0.417 ... Validation loss: 0.681[ 0.3339847]
[ 0.48737881  0.58218346  0.44747418  0.51978134  0.28204731  0.2519619
  0.40352894  0.61757315  0.55929026  0.26492773]
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[ 0.57398083]
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[ 0.3101503]
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[ 0.99147515]
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  0.44408163  0.46377435  0.63571546  0.64281395]
[-0.37303052]
[ 0.28438607  0.54426079  0.45913159  0.53844106  0.41713251  0.62997624
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[ 1.8665907]
[ 0.63215233  0.55379743  0.42706563  0.39337179  0.34984383  0.27226536
  0.48367052  0.65943232  0.60990675  0.24300673]
[-0.21887393]
[ 0.43018786  0.45925401  0.45599903  0.38355871  0.47613261  0.38676808
  0.43099553  0.44897216  0.42081636  0.63506933]
Progress: 30.0% ... Training loss: 0.434 ... Validation loss: 0.709[-0.02553818]
[ 0.67946399  0.51493483  0.70135757  0.42029891  0.56667844  0.42847539
  0.48828069  0.58318755  0.53351098  0.46809337]
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[ 0.66481634]
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  0.47230096  0.68308151  0.35592567  0.30568301]
[ 0.33169033]
[ 0.35425486  0.6475431   0.35019632  0.71190393  0.39342993  0.617715
  0.44694768  0.55068128  0.54655803  0.55870902]
[ 0.54391346]
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[ 1.29267834]
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  0.42841413  0.57738324  0.55777598  0.37382667]
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[ 0.18715204]
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[ 0.64453627]
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[ 0.23045785]
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[ 0.39457229]
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[ 1.19933113]
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[ 0.34322436]
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[ 0.0066519]
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[ 0.04449497]
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[ 0.48558617]
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[ 0.70217373]
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[ 1.23245909]
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[ 0.11991129]
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[ 0.36810557]
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[ 2.25762656]
[ 0.78606806  0.60677753  0.50923544  0.29483239  0.24210158  0.24305569
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[ 0.51706341]
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[ 0.07642844]
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[ 0.93816306]
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[ 0.43566946]
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[ 0.27649192]
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[ 2.55371662]
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[ 0.66662422  0.61470617  0.52294919  0.43367914  0.44496885  0.32273716
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[ 0.53130278]
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  0.39127565  0.43546707  0.52664399  0.71282521]
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[ 0.45884747  0.73030936  0.51193278  0.5845294   0.41661704  0.54282297
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[-0.22386603]
[ 0.30219981  0.67681833  0.52626077  0.56960216  0.42271011  0.58496375
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[ 1.94459643]
[ 0.68735257  0.78083609  0.44997623  0.62101299  0.40536273  0.34357975
  0.50049516  0.69003845  0.72834771  0.33839284]
[ 0.81135429]
[ 0.43176454  0.45093955  0.48097425  0.4438416   0.4023607   0.3912954
  0.47180671  0.5977481   0.47185425  0.24128971]
[ 0.21119592]
[ 0.48417694  0.44524135  0.46977396  0.36754895  0.37158154  0.42188911
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[-0.5308633]
[ 0.62024904  0.60803694  0.47075684  0.43508236  0.44894123  0.48435992
  0.49371679  0.62236604  0.45557449  0.50246167]
Progress: 30.3% ... Training loss: 0.413 ... Validation loss: 0.682[-0.84756445]
[ 0.46157768  0.5574164   0.53892039  0.49357107  0.44250175  0.43826226
  0.51786505  0.60481707  0.49749708  0.30142431]
[ 0.09839434]
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[ 0.86469265]
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[-1.11831816]
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[ 1.19265634]
[ 0.82603325  0.60334042  0.62061888  0.33582005  0.43115257  0.32503177
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  0.42218566  0.52643897  0.55523833  0.28761327]
[ 0.08893539]
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[ 0.40648643]
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[ 1.15508366]
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[ 0.4904275]
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[ 0.79000466]
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[ 0.06375296]
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[ 0.08745103]
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[ 1.20100621]
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[ 0.25131798]
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[ 0.30235959]
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[ 0.07807238]
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[ 0.28122311]
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[ 0.11537192]
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[ 2.68243963]
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[ 1.19102696]
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[ 0.1276144]
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[ 0.16808664]
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[ 0.79722213]
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[ 1.3164379]
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[ 0.41513042]
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[ 0.87940942]
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[ 0.03858061]
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[ 1.47688232]
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[ 0.64402319]
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[ 0.15191704]
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[ 0.87587412]
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[ 0.75535537]
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[ 0.23524681]
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[ 0.10556049]
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[ 1.83507306]
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[ 0.57978765]
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[ 1.3314846]
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[ 1.55099593]
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[ 0.8128523]
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[ 1.83152825]
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[ 0.2083434]
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[ 0.30048943]
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[ 0.12475906]
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[ 0.03603708]
[ 0.28793918  0.36124315  0.51001321  0.42542989  0.54603254  0.74841815
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[ 1.04152979]
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  0.34556372  0.51048657  0.54525277  0.41463707]
[ 1.02861574]
[ 0.59063555  0.56366384  0.46455233  0.55253697  0.28117509  0.28714447
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[ 0.09892764]
[ 0.34846437  0.62725846  0.50602057  0.64491114  0.50010729  0.74488445
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[ 1.06844908]
[ 0.7466806   0.65192511  0.45530875  0.46797305  0.27912649  0.19118911
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[ 0.10937898]
[ 0.3131738   0.56772275  0.43254897  0.4942682   0.40294927  0.77271656
  0.31326548  0.45818396  0.40937904  0.63308083]
[ 2.12445206]
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[ 0.05840701]
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[ 0.61462289]
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[ 0.41100837  0.58338882  0.4275551   0.47377159  0.42463119  0.58175048
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[ 0.18401233]
[ 0.29806424  0.60452855  0.49359679  0.56442383  0.53470075  0.63635772
  0.39702464  0.37330674  0.48718045  0.62135441]
[-0.41934013]
[ 0.5784453   0.74324323  0.47639155  0.63155923  0.48673547  0.54353503
  0.50371228  0.62069317  0.57695526  0.40136266]
[-0.41394475]
[ 0.74252132  0.49882382  0.56645799  0.43062974  0.39360542  0.50796935
  0.55127612  0.59571964  0.40560632  0.41422707]
[ 0.22457769]
[ 0.25343109  0.52835891  0.59249326  0.45285378  0.60823278  0.70431296
  0.43224594  0.2593935   0.47474305  0.64461678]
Progress: 30.6% ... Training loss: 0.417 ... Validation loss: 0.669[ 0.23702352]
[ 0.7241671   0.42698635  0.66686462  0.45124283  0.41953776  0.32219349
  0.467954    0.6445246   0.48099367  0.26903933]
[ 0.13195363]
[ 0.76143807  0.79765879  0.54210813  0.30197409  0.31415964  0.39065877
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[ 0.32466618]
[ 0.58408418  0.61696235  0.47905547  0.50191003  0.29818925  0.57711219
  0.3713057   0.68492162  0.54798538  0.46940099]
[ 1.00068612]
[ 0.64049119  0.4944713   0.5933954   0.47075763  0.30717458  0.42955662
  0.3889181   0.50285465  0.54807207  0.45094674]
[ 0.22039303]
[ 0.55049944  0.54229072  0.53122191  0.44144083  0.37757323  0.38883271
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  0.38623779  0.62843013  0.59203946  0.50638558]
[ 0.08581406]
[ 0.2153627   0.54927402  0.50007617  0.64112674  0.44570754  0.65278148
  0.40137637  0.41365882  0.51789578  0.52883739]
[ 0.34098874]
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  0.47599921  0.51526666  0.62575825  0.37168163]
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[ 0.43155059]
[ 0.66588081  0.60119341  0.50927293  0.51247918  0.31605235  0.29526958
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[ 1.62043257]
[ 0.50248661  0.44558051  0.44565201  0.54939835  0.3083036   0.28862043
  0.39928748  0.43010708  0.54887726  0.25588458]
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[ 0.33738396  0.74261163  0.39334292  0.7335539   0.39640777  0.70376776
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  0.34815048  0.64889964  0.40999536  0.45022345]
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[ 0.2946024   0.13667468  0.68376636  0.35522581  0.69614111  0.54351749
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[ 1.80015697]
[ 0.48822927  0.73858205  0.39845333  0.62312889  0.34448328  0.36013534
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[ 1.92989573]
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  0.50345684  0.62520822  0.67234548  0.2809287 ]
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[-0.6020385]
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[ 0.51521403]
[ 0.55598079  0.62902127  0.38858161  0.54266764  0.28580997  0.43934099
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[ 0.2662352   0.5064033   0.50624051  0.56121789  0.48221149  0.52536121
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  0.4175367   0.5333859   0.45964782  0.44495906]
[ 1.05883799]
[ 0.61023215  0.60983748  0.55472694  0.55935032  0.5156408   0.45392175
  0.50156808  0.60154682  0.58441878  0.39762419]
[ 0.57326696]
[ 0.48765701  0.46627304  0.51153354  0.38053442  0.50357038  0.46741808
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[ 0.10281531]
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[ 0.51283646]
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[ 0.49446539]
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[ 0.88655384]
[ 0.58916435  0.6233761   0.55614782  0.31701676  0.47857416  0.4397288
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[ 0.57702904]
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[ 0.19851514]
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[ 0.24231018]
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[ 0.13384993]
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[ 0.55154415]
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[ 0.49286016]
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[ 0.36318475]
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[ 2.20140236]
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[ 1.29506094]
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[ 0.66934584]
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[ 0.19744756]
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[ 0.32821843]
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[ 1.16699793]
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[ 0.20370046]
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[ 0.01081949]
[ 0.40753389  0.57447064  0.51071508  0.57271399  0.43721903  0.44230853
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[ 1.96697697]
[ 0.56577847  0.64059149  0.46666795  0.49973726  0.36737391  0.38239469
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[ 0.54656074  0.44999469  0.62716463  0.37357684  0.44626471  0.37328192
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[ 0.06520519]
[ 0.32854563  0.67503029  0.52432619  0.69523248  0.53572228  0.75302378
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[-0.28666012]
[ 0.49649927  0.35645749  0.65446983  0.40546337  0.42769871  0.5690774
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[-0.03525841]
[ 0.49974006  0.57647952  0.52259238  0.49300098  0.40090582  0.5521039
  0.52190976  0.64588775  0.58529284  0.39600734]
Progress: 30.9% ... Training loss: 0.407 ... Validation loss: 0.666[-0.2890544]
[ 0.38623484  0.43797784  0.61417898  0.63748872  0.41343363  0.64306622
  0.36114547  0.38755021  0.39632495  0.44572058]
[ 2.35105199]
[ 0.69508178  0.57146562  0.5544743   0.47113766  0.31090232  0.25523553
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[ 0.98651341]
[ 0.63491555  0.71748967  0.58350609  0.46479182  0.3918827   0.55910871
  0.4823244   0.61261195  0.67297031  0.5733482 ]
[ 1.08651537]
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[ 0.04927803]
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  0.36975096  0.41921123  0.36043597  0.58607808]
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[ 0.4484563   0.64769114  0.42389829  0.51403462  0.3618027   0.67978154
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[ 1.27258155]
[ 0.61851881  0.67933515  0.49216481  0.48151245  0.37651421  0.52455233
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[-0.00058936]
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[ 0.18308425]
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[ 1.27823025]
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  0.41605689  0.40065689  0.62677843  0.5623474 ]
[ 0.39906274]
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  0.42438021  0.59759233  0.45532496  0.38973121]
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[ 0.41994564]
[ 0.44302954  0.54065566  0.37777214  0.58688672  0.32636057  0.27516807
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[-0.45712785]
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[ 0.78012626]
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[ 0.42512319]
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[ 0.62783175]
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[ 0.07746936]
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[ 1.01530017]
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[ 0.02039982]
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[ 0.55752215]
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[ 1.02744085]
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[ 0.6582444]
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[ 2.61963439]
[ 0.79042251  0.56444344  0.59554821  0.22733949  0.35781464  0.21109294
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[ 0.06447241]
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[ 0.55569737]
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[ 0.71579178  0.49093744  0.57115689  0.31048561  0.43806068  0.31260069
  0.43968427  0.55221694  0.48609855  0.49937249]
[ 0.01673665]
[ 0.43953011  0.69213498  0.44276928  0.70501006  0.35539822  0.60459525
  0.45562143  0.52447096  0.52692992  0.60575267]
[ 0.27278785]
[ 0.39195083  0.55757663  0.57683358  0.63668047  0.44113008  0.50300662
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[ 0.34804571  0.65324669  0.4247581   0.48035619  0.37261992  0.60769705
  0.52646021  0.52187139  0.54369979  0.54003224]
Progress: 31.1% ... Training loss: 0.405 ... Validation loss: 0.657[ 1.35366344]
[ 0.69135713  0.56529973  0.47094925  0.5214344   0.25005459  0.22198786
  0.50970021  0.61874931  0.61259299  0.20637122]
[ 0.94927474]
[ 0.63732621  0.71729267  0.5844694   0.46332483  0.39046588  0.55759735
  0.48397624  0.61421899  0.67441914  0.5708921 ]
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[ 0.22420653]
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[ 0.4558536]
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[ 0.40072149]
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[ 0.03429982]
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[ 0.51906824]
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[ 0.48399205]
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[ 0.68943811]
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[ 0.05813077]
[ 0.25811742  0.5279918   0.53018884  0.62023879  0.49570359  0.59816211
  0.381634    0.44472286  0.6040222   0.56054908]
[ 1.46895098]
[ 0.5951902   0.62689081  0.51645798  0.47213322  0.28776388  0.50732711
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[ 0.5615036   0.70214541  0.43601014  0.64304538  0.24962918  0.44567745
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[ 0.58280425]
[ 0.72365967  0.50109723  0.54681266  0.30831123  0.34789126  0.17090543
  0.48079398  0.60066782  0.46898987  0.33700752]
Progress: 31.4% ... Training loss: 0.403 ... Validation loss: 0.663[ 0.55676568]
[ 0.5854226   0.36068333  0.67017547  0.27639893  0.47772003  0.51071894
  0.46536361  0.53768959  0.36673713  0.46647829]
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[ 0.25533646]
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[ 0.3453545]
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[ 0.03569553]
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[ 0.42344717]
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[ 0.07160577]
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[ 0.31273984]
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[ 0.22857924]
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[ 1.15095647]
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[ 1.21570538]
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[ 1.01160655]
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[ 2.07395147]
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[ 0.22959818]
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[ 1.10134855]
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[ 1.37110463]
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[ 0.43851427]
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[ 0.10295811]
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[ 0.1892634]
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[ 0.31193793]
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[ 0.14506874]
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[ 0.23966613]
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[ 0.23741502]
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[ 0.33432096]
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[ 0.30393932]
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[ 0.17263311]
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[ 0.13726621]
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[ 0.64507141]
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[ 1.37454154]
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[ 0.35125058]
[ 0.60854557  0.48268496  0.54080401  0.29595412  0.47609148  0.57008977
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[ 0.84200859]
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[ 1.08350757]
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[ 1.04080184]
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[ 0.76300649]
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[ 1.90976518]
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[ 0.4055104   0.24364989  0.70159035  0.46045174  0.59767295  0.5398313
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[ 0.33243672]
[ 0.42945348  0.31155352  0.58809257  0.28797973  0.41052743  0.59333296
  0.42960377  0.46259409  0.28020025  0.42126102]
[ 1.24248183]
[ 0.53120437  0.6585683   0.45854326  0.45549543  0.34832337  0.2946125
  0.38459258  0.64261647  0.53739425  0.4205751 ]
[ 0.9965444]
[ 0.69724954  0.45405525  0.59159093  0.4087769   0.46147461  0.44624143
  0.52781552  0.60810981  0.38668445  0.50757158]
[-0.2354306]
[ 0.27918289  0.4726875   0.50244666  0.4507778   0.41610097  0.60407841
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[ 0.51708817  0.63968849  0.44252061  0.65326141  0.34612302  0.57133592
  0.42702536  0.6058496   0.50367518  0.49786238]
Progress: 31.7% ... Training loss: 0.400 ... Validation loss: 0.654[-0.11346736]
[ 0.42893444  0.35633747  0.69134269  0.34181128  0.4430708   0.60438052
  0.4606103   0.42791576  0.3427062   0.47055632]
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[ 0.17703027]
[ 0.53720403  0.49293042  0.59759472  0.52191978  0.34633519  0.54549313
  0.46050451  0.58804991  0.5094773   0.42778978]
[ 1.58907097]
[ 0.73597168  0.56164407  0.64215143  0.34490549  0.39047509  0.29970393
  0.49956266  0.77348743  0.50713758  0.32162841]
[ 2.02267421]
[ 0.6408112   0.58576513  0.48444031  0.4397427   0.31251591  0.20042074
  0.50383514  0.65766714  0.5212505   0.34360776]
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  0.47372093  0.46701241  0.44072322  0.28791933]
[ 2.27781586]
[ 0.6927962   0.50617266  0.55451632  0.28485111  0.24273093  0.23071847
  0.5302039   0.73697056  0.52471099  0.25678964]
[-0.39997593]
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[-1.16781362]
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[ 0.09975834]
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[ 0.50137918]
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[ 2.22056608]
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[ 0.55624984]
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[ 0.21803182]
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[ 0.29095944]
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[ 0.18455414]
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[ 0.15393324]
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  0.49724043  0.49275573  0.46524544  0.31115171]
[ 0.50475486]
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[ 0.8729733]
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[ 0.09503355]
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[ 0.20031453]
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[ 1.88770549]
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[ 0.15983933]
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[ 0.22697017]
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[ 0.72437808]
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[ 1.63803239]
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[ 0.30646404]
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[ 2.78597092]
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[ 0.38094734]
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[ 0.33618453]
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[ 0.04203434]
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[ 0.81317287]
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[ 1.45364462]
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[ 1.03223337]
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[ 1.62604087]
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[ 0.85005218]
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[ 2.03025286]
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[ 0.15905619]
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[ 0.09282744]
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[ 0.45125446  0.74566279  0.4476412   0.64857347  0.32355704  0.61391201
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[-0.06997148]
[ 0.62302892  0.58927209  0.58405167  0.2098815   0.44555341  0.51148398
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[ 0.26675207]
[ 0.66600928  0.53345326  0.58975566  0.34269394  0.32409797  0.27725042
  0.4646467   0.6559803   0.47856764  0.34322399]
Progress: 32.0% ... Training loss: 0.396 ... Validation loss: 0.646[-0.37969948]
[ 0.61585318  0.69249413  0.45601551  0.44089671  0.37435793  0.28837253
  0.41803714  0.62023552  0.5751459   0.39980148]
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[ 0.20144319]
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[ 2.0237788]
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[ 2.76374509]
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[ 0.32908254]
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[ 0.26846385]
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[ 0.62860689]
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[ 0.54729418]
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[ 0.83988752]
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[ 1.09577056]
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[ 0.2295185]
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[ 0.05089798]
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[ 0.15969648]
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[ 0.04877309]
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[ 0.1122351]
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[ 0.15030013]
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[ 0.12023163]
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[ 1.95543313]
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[ 1.24550853]
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[ 1.93602396]
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[ 0.22110257]
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[ 0.41473811]
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[ 0.07639919]
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[ 0.2519989   0.35258832  0.6117785   0.50102259  0.44954693  0.58686063
  0.47007882  0.39603519  0.46667451  0.41269247]
[ 1.20001454]
[ 0.58739406  0.79771334  0.42162284  0.6162385   0.35673808  0.46285641
  0.53995862  0.60064023  0.68586439  0.4087393 ]
[ 0.47385246]
[ 0.38422682  0.6146966   0.46950217  0.51392779  0.42546693  0.46875208
  0.51289288  0.58006526  0.43254291  0.49675868]
[-0.29276107]
[ 0.52731575  0.64515143  0.46188589  0.72260995  0.38305295  0.68963151
  0.42524004  0.50629974  0.45801338  0.58016383]
Progress: 32.3% ... Training loss: 0.393 ... Validation loss: 0.643[-0.58637093]
[ 0.59078706  0.7279512   0.38204921  0.57157996  0.36585404  0.5848154
  0.43814754  0.68805267  0.56557077  0.54839097]
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[ 0.49100737]
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[ 0.09812453]
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[ 0.93117934]
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[ 1.00991024]
[ 0.75449951  0.56816167  0.55217889  0.40610775  0.23766108  0.32083274
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[ 0.28095946]
[ 0.42704772  0.52576766  0.49212475  0.49484913  0.29374302  0.33562348
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[ 1.1334396]
[ 0.60631476  0.47624332  0.58649552  0.42526229  0.32160877  0.49333486
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[ 0.52357448]
[ 0.72323703  0.64392926  0.60495842  0.40144213  0.31817574  0.42709661
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[ 0.51500725  0.70043303  0.37419765  0.68843004  0.23750421  0.2510578
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[ 1.27026932]
[ 0.28504492  0.67933011  0.37919813  0.62587065  0.42660863  0.5971071
  0.3833524   0.60848464  0.56996721  0.59034123]
Progress: 32.6% ... Training loss: 0.410 ... Validation loss: 0.650[ 0.4549781]
[ 0.21116123  0.48654052  0.63110416  0.5661043   0.47740727  0.77212091
  0.31909591  0.26974319  0.34723284  0.6509397 ]
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[ 0.66703229]
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[ 0.56888164]
[ 0.44159568  0.5256074   0.52396223  0.47955151  0.42978935  0.70764234
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[ 0.35360139]
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[ 1.81882165]
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[ 0.0761016]
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[ 0.64729398]
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[ 0.4447849]
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[ 0.16641785]
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[ 0.56497678]
[ 0.39264148  0.6179418   0.4941722   0.60019217  0.40936365  0.43025922
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[ 0.30650253]
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[ 0.40540951]
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[ 0.41731985]
[ 0.59881273  0.64746798  0.45798717  0.4659427   0.35359165  0.34192744
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[ 0.43201386]
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[ 0.33086038]
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[ 0.67579822  0.58830613  0.56680671  0.31786221  0.46097702  0.52190988
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[ 0.01864057]
[ 0.27171557  0.50570878  0.47160111  0.68128124  0.53564227  0.72937303
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[ 1.96914966]
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[ 0.14239779]
[ 0.77724914  0.32964577  0.66065081  0.18859537  0.44783814  0.32535121
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[-0.28383166]
[ 0.73451063  0.48706384  0.57018188  0.45766562  0.37824893  0.37674393
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[-0.33798231]
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  0.51626567  0.5167277   0.3744485   0.30800259]
[-0.74144457]
[ 0.58958135  0.58491935  0.41101544  0.57629527  0.2846463   0.482521
  0.48160601  0.735505    0.54415009  0.38984796]
[-0.12997102]
[ 0.36176113  0.52180426  0.45883551  0.57069497  0.52483786  0.74485933
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[-0.95679424]
[ 0.46910766  0.62788111  0.46919241  0.45498085  0.37771428  0.48006386
  0.401445    0.49176771  0.56053782  0.50095425]
[-0.22689059]
[ 0.4002211   0.47759422  0.57551003  0.57616945  0.59427033  0.50761909
  0.34382385  0.46799624  0.4678814   0.56808439]
[-0.24888384]
[ 0.48032103  0.5485255   0.38855738  0.46618893  0.36236782  0.65438458
  0.48412026  0.63196387  0.44634375  0.39799463]
[ 2.10935114]
[ 0.58073087  0.43392497  0.53236925  0.43571665  0.30879608  0.36434435
  0.53985169  0.78703722  0.46052696  0.19058355]
Progress: 32.9% ... Training loss: 0.417 ... Validation loss: 0.663[-0.26863304]
[ 0.40239681  0.60424917  0.36718403  0.60777231  0.42879881  0.73311527
  0.38110435  0.71856046  0.53051536  0.55313046]
[ 0.32186032]
[ 0.37141151  0.48325128  0.54581061  0.4822711   0.51595688  0.67023818
  0.36520129  0.60507881  0.53716223  0.4930057 ]
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  0.56416669  0.68569031  0.69598907  0.56060441]
[ 0.15561753]
[ 0.34283369  0.52285715  0.47435967  0.59458467  0.58888489  0.68249425
  0.37085358  0.42471484  0.3977997   0.57093471]
[ 0.29261903]
[ 0.47758396  0.59296926  0.43575859  0.61436148  0.37764677  0.59057964
  0.52949851  0.59658837  0.49151929  0.44191944]
[ 0.32341015]
[ 0.44228483  0.46814326  0.471861    0.39223747  0.34736767  0.47094412
  0.48900942  0.61872853  0.38665348  0.39435091]
[-0.57455922]
[ 0.83649582  0.6363241   0.62501787  0.34437606  0.4378274   0.35445477
  0.50569724  0.73726149  0.65279507  0.4052775 ]
[-0.025836]
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  0.37374685  0.64699961  0.50855363  0.44734538]
[-0.25745303]
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[-0.32227735]
[ 0.60306567  0.67713298  0.38989354  0.40787041  0.32265867  0.34793409
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[ 2.54126478]
[ 0.69623851  0.47123142  0.49265278  0.3347884   0.26070956  0.24464204
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[-0.2733332]
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  0.41564108  0.61018054  0.48810811  0.54823173]
[ 2.02431361]
[ 0.63108868  0.73951077  0.38791084  0.47215294  0.28939273  0.27956489
  0.47465299  0.67563026  0.67175601  0.34527663]
[ 0.49979576]
[ 0.27755416  0.44991401  0.59642676  0.49818977  0.61562667  0.81748914
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[ 0.54691089]
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  0.3768218   0.31271619  0.38717094  0.6782755 ]
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[ 0.37180044  0.49698922  0.49637798  0.5746624   0.48595118  0.67925536
  0.40700296  0.52051191  0.54815042  0.4905046 ]
[-0.52438214]
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  0.46247457  0.49836465  0.31682036  0.55654369]
[ 2.08543569]
[ 0.64702443  0.65406412  0.49897879  0.42633758  0.34323686  0.47406945
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[ 0.45012396]
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[ 0.14709227]
[ 0.2638247   0.52764718  0.53255843  0.61581515  0.49065227  0.58635087
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[ 0.69983067]
[ 0.46142534  0.40445207  0.55158053  0.57998195  0.51891925  0.41089499
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[ 1.80524174]
[ 0.45241088  0.59565335  0.50643267  0.39467736  0.4771251   0.51347879
  0.42423863  0.6172911   0.58239764  0.45708602]
[ 0.01504731]
[ 0.31051679  0.629766    0.40606078  0.66363094  0.32218942  0.58476481
  0.4064208   0.52320502  0.60419823  0.46717234]
[-0.12125205]
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[ 1.37877252]
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[ 1.52414631]
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[ 0.36698747]
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[ 1.84034806]
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[ 0.65660417]
[ 0.70303319  0.50227402  0.5367824   0.37152286  0.47171468  0.30446222
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[ 0.89620006]
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  0.3935391   0.48292256  0.3606813   0.56430996]
[ 2.11583224]
[ 0.80478807  0.61483981  0.52301911  0.23283628  0.31792108  0.14804067
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[ 0.38741043]
[ 0.58522319  0.62436286  0.51848679  0.41008181  0.33946128  0.5443254
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[ 0.65294284  0.47650815  0.6139795   0.41965068  0.44521445  0.30755616
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[ 1.32959117]
[ 0.57718059  0.69389145  0.49512337  0.46632818  0.2792183   0.43932721
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[ 0.00568342]
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[ 0.53966103]
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[ 0.07521419]
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[ 0.16560059]
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[ 0.5895288]
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[ 0.33543353]
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[ 0.45179796]
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[ 0.32781325]
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[ 0.55466875]
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[ 1.06094621]
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[ 0.02538407]
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[ 0.81750135]
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[ 0.4849194]
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[ 0.00100128]
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[ 1.37026725]
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[ 0.08789346]
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[ 0.78837049]
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[ 0.16183738]
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[ 0.04245658]
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[ 1.10424691]
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[ 0.25045348]
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[ 0.87681695]
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[ 0.64228037]
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  0.4428325   0.62470605  0.68727517  0.41592696]
[ 0.26866723]
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[ 0.09444126]
[ 0.29535761  0.50205431  0.63683708  0.49694816  0.48145411  0.67382824
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[ 0.37647248]
[ 0.24886828  0.62587133  0.4144414   0.6415873   0.47401226  0.71831569
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[ 0.68403354]
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[ 0.08998325]
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[ 1.47583671]
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[ 0.96076712]
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[ 0.02244218]
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[ 0.58751938]
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[ 0.52627428]
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[ 0.22492467]
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[ 0.5831868]
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[ 1.09199084]
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[ 0.68294069]
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[ 0.18669189]
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[ 0.75453488]
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[ 1.50963971]
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[ 0.12303535]
[ 0.64184915  0.53577702  0.49405641  0.56662455  0.41263184  0.49926965
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[ 0.21542598]
[ 0.26470561  0.76132853  0.3891735   0.68394517  0.42226782  0.64379149
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[ 0.76913795  0.54517146  0.58904723  0.31491434  0.5238514   0.51764024
  0.51097033  0.61627658  0.60274555  0.4290102 ]
[ 0.3061458]
[ 0.29115129  0.40008275  0.63689507  0.50893729  0.51228824  0.69188201
  0.37602804  0.36214705  0.33305002  0.67509172]
[ 0.33166624]
[ 0.61849559  0.66989882  0.61683593  0.49499032  0.42324949  0.45534355
  0.48366952  0.54469339  0.62852384  0.45714362]
[ 0.53362524]
[ 0.41873378  0.42791254  0.54342133  0.46216697  0.48093651  0.57153274
  0.41365787  0.47905933  0.55880623  0.47819282]
[ 1.58828889]
[ 0.63726163  0.80392663  0.47012793  0.58096279  0.34336457  0.42740662
  0.49528081  0.66742456  0.60146953  0.57383716]
Progress: 33.1% ... Training loss: 0.427 ... Validation loss: 0.672[-0.46705776]
[ 0.25431248  0.25468845  0.63029677  0.53517992  0.42806897  0.49828299
  0.43373922  0.41993275  0.41626909  0.28578116]
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  0.5055633   0.62234984  0.5521812   0.34206291]
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[ 0.42035785  0.66452159  0.40737271  0.55756525  0.29579086  0.48869985
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[ 0.04008829]
[ 0.2891679   0.36636895  0.6837296   0.49803968  0.59430569  0.69918702
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[ 0.59701705  0.37039367  0.66877292  0.37190582  0.62654418  0.47722005
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[ 0.93189103]
[ 0.38386273  0.57049849  0.43929787  0.56604473  0.34780615  0.51497752
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  0.48588444  0.5331309   0.49662145  0.4389197 ]
[ 1.01658381]
[ 0.61919406  0.52644652  0.52176587  0.40837242  0.30366177  0.43987363
  0.53734414  0.69112105  0.58456279  0.36531304]
[-0.1430306]
[ 0.40853113  0.58881807  0.49989947  0.5403754   0.53890917  0.49700881
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[-0.43986016]
[ 0.71636613  0.45614842  0.58894935  0.39068684  0.47439928  0.3067159
  0.4932239   0.59159773  0.43434864  0.35429154]
[ 0.28176602]
[ 0.24499789  0.55276899  0.57047182  0.67373238  0.45699606  0.77728646
  0.3430555   0.31176825  0.42248953  0.63298481]
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[ 0.55329612  0.71104787  0.39734771  0.5222774   0.38714763  0.36267447
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[ 0.98779853]
[ 0.52312854  0.61960485  0.40174325  0.43762069  0.37302104  0.4295577
  0.45448585  0.64743302  0.55361558  0.3536193 ]
[-1.00724703]
[ 0.62604382  0.55536656  0.59778688  0.35409722  0.45138365  0.34066638
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[ 0.21786501]
[ 0.42324386  0.54918637  0.47603461  0.38627861  0.40025209  0.54372665
  0.41681146  0.51189947  0.44782972  0.56105225]
[ 0.4844683]
[ 0.43653038  0.67674319  0.47803863  0.60794953  0.36211375  0.45728347
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[-0.54867079]
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[ 0.7622225]
[ 0.47358373  0.65893765  0.49411863  0.62204423  0.37371078  0.63217325
  0.4010858   0.57593316  0.58504556  0.60540628]
[ 0.11948104]
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[-1.22260044]
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  0.50501771  0.5604024   0.43640724  0.49164236]
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[ 0.34362666]
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[ 0.17230717]
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[ 0.44777658]
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[ 0.08688964]
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[ 0.61751831]
[ 0.55958514  0.68541495  0.47583365  0.6079331   0.44059193  0.35393651
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[ 0.46652425  0.6473849   0.48544693  0.71799301  0.38696501  0.7025388
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[-0.41877538]
[ 0.46787595  0.49789867  0.576314    0.42226332  0.42140893  0.52199852
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[ 0.2507839]
[ 0.6123969   0.72512039  0.51192531  0.50862879  0.36378028  0.47804314
  0.59303077  0.65344497  0.60805786  0.49356668]
[ 0.59548511]
[ 0.4242799   0.5558602   0.48379542  0.5277106   0.35344611  0.36315097
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[ 0.01454701]
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[ 1.26837981]
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[ 0.15245816]
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[ 0.45974564]
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[ 0.09737982]
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[ 0.49589277]
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[ 0.00401135]
[ 0.27579548  0.60706589  0.56216272  0.5401816   0.42838334  0.72101558
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[ 1.73566354]
[ 0.59883974  0.45338958  0.48029238  0.47498168  0.38388114  0.31454917
  0.41163886  0.57286319  0.40552514  0.33031883]
[ 0.04700652]
[ 0.3192739   0.55499239  0.53717708  0.53096441  0.62285944  0.61213043
  0.41793195  0.2495169   0.35377964  0.63330998]
[ 0.14481579]
[ 0.42660609  0.20325883  0.6518989   0.38224137  0.48041518  0.38851221
  0.50341026  0.42649347  0.29301102  0.4518499 ]
[-1.34009047]
[ 0.62626713  0.50135398  0.60346753  0.35808505  0.47518518  0.4085783
  0.52708978  0.59750139  0.37053477  0.40229378]
[ 0.89528874]
[ 0.40059941  0.3755251   0.54142066  0.45596928  0.41721826  0.34920415
  0.53877061  0.54149847  0.52988733  0.23197309]
Progress: 33.4% ... Training loss: 0.388 ... Validation loss: 0.636[-0.06954084]
[ 0.26559258  0.52088266  0.55209894  0.60345063  0.36502992  0.69417243
  0.37730134  0.47039606  0.48488772  0.51946412]
[ 0.06677524]
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[ 0.37389105]
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[ 0.31791066]
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[ 0.11569183]
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[ 0.66963407]
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[ 0.02138829]
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  0.39309215  0.54207242  0.43112668  0.70153942]
[-0.20475614]
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  0.4936467   0.53472647  0.5265994   0.40044913]
[ 1.62721872]
[ 0.70491233  0.59342143  0.51041883  0.5113826   0.47155089  0.27725651
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[-0.26220059]
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[ 0.41322662  0.65338162  0.36485285  0.6664984   0.33559337  0.50057834
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[ 0.5447011   0.56477078  0.5019677   0.49221665  0.54265079  0.60793964
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[-0.16457287]
[ 0.49147394  0.50775779  0.54064953  0.51318292  0.32549695  0.41947482
  0.59461598  0.7124966   0.47372579  0.31011542]
Progress: 33.7% ... Training loss: 0.385 ... Validation loss: 0.634[-0.18082303]
[ 0.39584793  0.42600828  0.64850041  0.52004192  0.44896772  0.54385436
  0.44446447  0.51711453  0.41396573  0.41500644]
[ 0.66516564]
[ 0.68481034  0.44523233  0.51229236  0.30481684  0.33953819  0.24208459
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[ 0.84606671]
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[ 1.27904156]
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[ 0.06954597]
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[ 1.11410429]
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[ 0.16183203]
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[ 1.29449028]
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[ 0.14423694]
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[ 0.59236431]
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[ 1.86534801]
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[ 0.75813069]
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[ 2.18800408]
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[ 0.16318988]
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[ 0.34774113]
[ 0.42482677  0.66033948  0.47253702  0.60062733  0.41666338  0.57818957
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[ 0.81586178]
[ 0.33800686  0.71202629  0.35358994  0.67629782  0.39683037  0.65277789
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[ 0.80217771  0.4816249   0.73365272  0.33606072  0.52232045  0.30005052
  0.49731592  0.5949854   0.53651739  0.32809691]
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[ 0.4254896   0.73818433  0.44079784  0.60241223  0.35504806  0.50659442
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[ 0.44454093  0.31012614  0.65176062  0.38151502  0.5309938   0.45426329
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[ 0.45148039  0.56674185  0.48287551  0.36274222  0.42699846  0.53609164
  0.45303033  0.48412509  0.46890333  0.45789607]
Progress: 34.0% ... Training loss: 0.384 ... Validation loss: 0.631[-0.1228823]
[ 0.46404762  0.57266845  0.48761462  0.52962317  0.46740823  0.61357061
  0.48763378  0.44671048  0.43566519  0.5446188 ]
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[ 0.53231551  0.3631957   0.59319233  0.28620751  0.45036562  0.48988532
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[ 0.06493673]
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[ 0.68406335]
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[ 0.71998368]
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[ 0.00684615]
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[ 1.39549594]
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[ 0.51928454]
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[ 0.2807254]
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[ 0.79827231]
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[ 0.24164622]
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[ 0.62309069]
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[ 0.48727341]
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[ 0.47503637]
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[ 0.12508996]
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[ 0.17597842]
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[ 0.15342849]
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[ 0.30368678]
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[ 0.63516828]
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[ 1.51745725]
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[ 0.22890786]
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[ 0.97302188]
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[ 0.0454594]
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[ 0.01241762]
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[ 0.63670825]
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[ 0.15902963]
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[ 1.05841223]
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[ 0.77044605]
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[ 0.03459963]
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[ 2.22273635]
[ 0.84707021  0.59841332  0.61109282  0.33285556  0.40356867  0.25281894
  0.55111302  0.74101403  0.62546039  0.26155263]
[ 0.01303959]
[ 0.52525364  0.73878432  0.31517519  0.5652622   0.22374531  0.4852708
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[ 0.3082119   0.73164981  0.45113514  0.57725298  0.37505588  0.65408096
  0.48421905  0.54854816  0.60326501  0.56984894]
[ 1.37968378]
[ 0.67475491  0.78518662  0.47507217  0.42524503  0.28473229  0.31569393
  0.55102374  0.70437161  0.68025648  0.56302107]
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[ 0.71818695  0.73070697  0.48014085  0.33548421  0.31249882  0.44271709
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[ 0.39699026  0.47699149  0.49264024  0.53236688  0.4181694   0.47598232
  0.49266998  0.57229596  0.43610071  0.41350296]
Progress: 34.3% ... Training loss: 0.384 ... Validation loss: 0.625[ 0.42673145]
[ 0.21606633  0.53393629  0.5471432   0.59910993  0.5440107   0.78658973
  0.39855385  0.43345686  0.49316068  0.68397407]
[ 1.20658703]
[ 0.66039509  0.37979107  0.64718757  0.32825297  0.4822491   0.46983085
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[ 0.08309949]
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[ 0.25721722]
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[ 0.30223904]
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[ 0.02317881]
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[ 0.59197631]
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[ 0.16875263]
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[ 0.03318563]
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[ 0.0469201]
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[ 0.08971868]
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[ 0.65037077]
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[ 0.08225099]
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[ 0.12102802]
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[ 1.58698632]
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[ 0.7878487]
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[ 0.07178253]
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[ 0.86708085]
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[ 1.42739585]
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[ 0.25728774]
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[ 1.43044449]
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[ 0.08221449]
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[ 1.06869721]
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[ 0.24798617]
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[ 0.36223194]
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[ 0.18583804]
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[ 0.2862102]
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[ 0.02268695]
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[ 1.89899521]
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[ 2.01766678]
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[ 0.48053837]
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[ 1.70284834]
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[ 0.32515751]
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[ 0.11561236]
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[ 0.30075676]
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[ 0.30796376]
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[ 0.28528105]
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[ 0.19607085]
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[ 0.02976562]
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[ 0.40568508]
[ 0.24325824  0.6974293   0.41052339  0.69954947  0.49819858  0.75374748
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[ 0.68622927  0.76046062  0.44184478  0.46359969  0.41330176  0.62156708
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[ 0.62000112]
[ 0.43374226  0.62409999  0.43495827  0.47109182  0.42292677  0.35323566
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[-0.35794384]
[ 0.39772045  0.56182735  0.46879521  0.3786779   0.42529136  0.62592742
  0.44332575  0.54114686  0.46154006  0.40136907]
Progress: 34.6% ... Training loss: 0.378 ... Validation loss: 0.621[-0.10908842]
[ 0.3163016   0.7792699   0.34091689  0.64572777  0.39927342  0.56388404
  0.36937345  0.42168228  0.52242865  0.67425807]
[ 0.8479358]
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  0.5284138   0.78831936  0.5772462   0.27219584]
[ 0.51847164]
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[ 0.79664811]
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[ 0.25009861]
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[ 0.07745585]
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[ 0.2289612]
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[ 0.11277601]
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[ 0.56747675]
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  0.51509578  0.58065431  0.65274644  0.62367952]
[ 1.51760404]
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  0.46096037  0.6102371   0.50703078  0.38553506]
[ 0.71689678]
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  0.48918013  0.65138458  0.52597189  0.27561355]
[-0.16545132]
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[ 0.61301339  0.60035412  0.49425905  0.50743465  0.26100136  0.35349192
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[ 0.60950782]
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[ 1.64753258]
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[ 0.49273827]
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[ 0.4558367]
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[ 1.14836582]
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[ 0.28811595]
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[ 0.51589867  0.63361611  0.45101868  0.56028855  0.29279541  0.59969565
  0.37565904  0.46572261  0.59100742  0.51739219]
[ 0.11049874]
[ 0.20097866  0.58490022  0.44035964  0.65344399  0.4487475   0.67424545
  0.38307941  0.52679552  0.41364152  0.56826417]
[-0.24084599]
[ 0.4702253   0.75743868  0.38596401  0.46024647  0.42874324  0.54260904
  0.53069892  0.60342631  0.57357562  0.59892423]
[-0.33391518]
[ 0.43318252  0.43061456  0.45844873  0.59714878  0.41144573  0.38003467
  0.44037275  0.54265077  0.40920997  0.33820336]
Progress: 34.9% ... Training loss: 0.379 ... Validation loss: 0.619[-0.41297934]
[ 0.67908165  0.77916304  0.4219083   0.34863677  0.31940745  0.29513487
  0.45447717  0.68275861  0.6197375   0.46909738]
[ 0.15555516]
[ 0.36021219  0.63696992  0.4366404   0.59935098  0.47802308  0.65274677
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[ 1.80067149]
[ 0.62651616  0.54101239  0.50045986  0.44042927  0.41674429  0.46366013
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[ 0.04046093]
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[ 0.43891723]
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[ 0.01923621]
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[ 0.03371068]
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[ 0.41166565]
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[ 1.48729066]
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[ 0.42378964]
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[ 0.11813899]
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[ 0.52241598  0.4899833   0.58715114  0.4739263   0.36032966  0.4485863
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[ 0.27992278  0.63840114  0.40156644  0.72123002  0.39610808  0.63171259
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[ 0.07985997]
[ 0.4991124   0.69258475  0.52847796  0.70901844  0.40177983  0.6653784
  0.33681649  0.49665693  0.49919413  0.60292246]
[ 0.20106637]
[ 0.28861481  0.5130919   0.35517644  0.60352128  0.4287236   0.60206727
  0.38173398  0.43279258  0.46308159  0.39617368]
[-0.65371319]
[ 0.41054702  0.41077114  0.69844535  0.39585227  0.39111901  0.50908696
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[-0.48015834]
[ 0.53984173  0.57723877  0.53103939  0.62964986  0.50763117  0.51165038
  0.46104052  0.61859859  0.41196117  0.46768669]
Progress: 35.1% ... Training loss: 0.380 ... Validation loss: 0.616[-0.19334564]
[ 0.43759378  0.55683343  0.51768174  0.62389995  0.38993096  0.62863617
  0.42424415  0.37577806  0.49532005  0.56702225]
[ 0.23419058]
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[ 0.4832667]
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[ 0.29654239]
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  0.34806074  0.72149862  0.59366217  0.54414716]
[ 0.59194435]
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  0.37601498  0.42353034  0.38880529  0.72618294]
[ 0.89665044]
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[-0.22474642]
[ 0.52041416  0.52796054  0.49714729  0.36233742  0.52797828  0.65454426
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[ 1.22336953]
[ 0.39340916  0.76903187  0.37409525  0.57739426  0.32020853  0.64479432
  0.44219356  0.54491611  0.64714562  0.60337955]
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  0.38954597  0.62425906  0.60326316  0.49720478]
[-0.59447506]
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[ 2.02273449]
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[ 0.61396783]
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  0.61913609  0.64570959  0.63653966  0.51837965]
[ 0.61487174]
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[ 0.30324179]
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[ 0.22249687]
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[ 0.58605793]
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[ 0.62451707]
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[ 0.25844801]
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[ 1.65622047]
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[ 0.57514637]
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[ 0.50596745]
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[ 0.08834962]
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[ 0.11341077]
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[ 0.11574187]
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[ 0.54524916]
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[ 1.18674071]
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[ 2.55528422]
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[ 0.64282701]
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[ 0.43110113]
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[ 0.02175045]
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[ 2.12559152]
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[ 1.90131982]
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[ 0.09733556]
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[ 0.19064116]
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[ 0.48978154]
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[ 0.41689896]
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[ 1.07688817]
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[ 0.53198753]
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[ 0.38758656]
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[ 0.22032408]
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[ 0.14692225]
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[ 0.14807021]
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[ 0.31498966]
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[ 0.16392081]
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[ 0.17534123]
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[ 1.30230499]
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[ 0.02287269]
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[ 0.75976537]
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[ 0.2429306]
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[ 0.30294951  0.70327326  0.39391794  0.6310982   0.46510008  0.75372536
  0.54996913  0.5734417   0.49506162  0.54881108]
[ 0.1298944]
[ 0.28192154  0.49021523  0.56586096  0.60117186  0.41893948  0.70505745
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[ 0.40444418  0.5173437   0.4376097   0.58406995  0.4256154   0.57750535
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[ 1.37094579]
[ 0.65247051  0.54655322  0.55446085  0.42709791  0.39222443  0.39748546
  0.47906856  0.64066449  0.42900611  0.41127305]
Progress: 35.4% ... Training loss: 0.387 ... Validation loss: 0.623[-1.15614804]
[ 0.62215552  0.64793944  0.53541644  0.64039514  0.4405371   0.41462446
  0.48141536  0.6504788   0.51528849  0.62580739]
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[ 0.45632595  0.7662685   0.40848955  0.73389026  0.44664743  0.57311781
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[ 2.08179354]
[ 0.5897423   0.80092073  0.36617089  0.49585706  0.23045759  0.29182635
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[ 0.07828443]
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[ 1.24416124]
[ 0.70498552  0.57069706  0.38818281  0.52671194  0.30118607  0.37899236
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[ 2.21050167]
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[ 0.592561]
[ 0.60757596  0.54006292  0.55041655  0.47244642  0.27913545  0.40883177
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[ 0.96752941]
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  0.51431977  0.48010794  0.47990175  0.380127  ]
[ 0.00179795]
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[ 0.96800287]
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[ 0.65887343]
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[ 0.21891089]
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[ 0.70065508]
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[ 0.0438947]
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[ 0.14760904]
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[ 0.3082718]
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[ 0.04897688]
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[ 0.05066312]
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[ 0.85404067]
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[ 0.57211508]
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[ 1.00582727]
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[ 0.22053096]
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[ 0.17660065]
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[ 1.03545127]
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[ 0.07147307]
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[ 1.49663053]
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[ 0.7373526]
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[ 1.43576285]
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[ 0.59800439]
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[ 0.10317238]
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[ 0.16691097]
[ 0.36931167  0.64131427  0.49594802  0.61530661  0.42626176  0.74514573
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[ 0.64468592  0.73242091  0.54553392  0.47901214  0.40013087  0.53421792
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[ 0.16443393]
[ 0.25594139  0.50311885  0.49138324  0.55943207  0.443779    0.6474225
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[ 0.2882174   0.4374379   0.61044919  0.50003419  0.53661188  0.63676482
  0.45617597  0.39233072  0.43257782  0.49475692]
Progress: 35.7% ... Training loss: 0.381 ... Validation loss: 0.612[ 0.57177375]
[ 0.62449819  0.61964416  0.53680127  0.58897055  0.44618927  0.46802644
  0.43277623  0.64494222  0.66170337  0.38705419]
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[ 0.29630092]
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[ 0.97845387]
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[ 0.12772798]
[ 0.47516805  0.43213625  0.45060442  0.59529089  0.28821018  0.46456641
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[ 1.10354748]
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[ 0.70275473]
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[ 0.32940385]
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[ 0.21511522]
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[ 0.16531992]
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[ 0.17566725]
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[ 0.10972063]
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[ 0.16972664]
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[ 0.04187625]
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[ 0.06854715]
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[ 0.79321115]
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[ 0.36480722]
[ 0.22111743  0.68347556  0.31384808  0.71604399  0.47119651  0.76573926
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[ 0.20746092]
[ 0.56441026  0.55975048  0.50887071  0.38401966  0.4864384   0.50525764
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[ 0.3030937   0.57393583  0.33561425  0.59935975  0.4386503   0.55157395
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[ 1.17499248]
[ 0.67268543  0.56461653  0.52005332  0.29883852  0.30924974  0.336707
  0.47874714  0.67060583  0.5400171   0.40150354]
Progress: 36.0% ... Training loss: 0.374 ... Validation loss: 0.608[ 0.68560603]
[ 0.36711686  0.59891526  0.4613758   0.46016867  0.41880453  0.57193655
  0.3607897   0.38138617  0.44574263  0.49555051]
[ 0.36889037]
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[ 0.1715846]
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[ 0.4254287]
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[ 0.96204167]
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[ 0.07766633]
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[ 0.08468743]
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[ 0.0417302]
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[ 0.91512285]
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[ 0.42839182]
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[ 1.325545]
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[ 0.60814593]
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[ 0.27152779]
[ 0.47685768  0.69787432  0.4666363   0.71658808  0.40527893  0.61147692
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[ 1.19575934]
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[ 1.27656027]
[ 0.42447155  0.508193    0.42189563  0.58316498  0.37576011  0.4787906
  0.34072943  0.49300862  0.49091063  0.35806366]
[ 0.14545296]
[ 0.29527444  0.40347062  0.57896807  0.61638957  0.36691508  0.70642646
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[ 0.40773109  0.77312457  0.28290206  0.69688366  0.36200549  0.53340886
  0.4070263   0.63998724  0.56331002  0.61507337]
Progress: 36.3% ... Training loss: 0.370 ... Validation loss: 0.604[ 0.86145528]
[ 0.52466811  0.45749099  0.52971814  0.3979864   0.44403052  0.58127162
  0.45960277  0.73589596  0.5463234   0.36408267]
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[ 0.22254305]
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[ 0.90666732]
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[ 0.4613141]
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[ 0.15667871]
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[ 1.86610832]
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[ 0.43353883]
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[ 0.09320003]
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[ 0.29092242]
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[ 1.04365194]
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[ 0.08515801]
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[ 2.13440295]
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[ 0.03062279]
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[ 1.86610832]
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[ 0.65722172]
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[ 0.1343788]
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[ 0.42559948  0.73038482  0.39884724  0.68778338  0.25186026  0.51653439
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[ 0.49752956  0.64474843  0.4993782   0.55078525  0.39740726  0.6741519
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  0.39545281  0.28270356  0.3391013   0.51556832]
Progress: 36.6% ... Training loss: 0.365 ... Validation loss: 0.588[ 0.13921482]
[ 0.35945323  0.62732215  0.31026567  0.5466278   0.48102282  0.70007587
  0.39728285  0.62247772  0.46670836  0.59244199]
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[ 0.04191538]
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[ 0.83124438]
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[ 0.10833777]
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[ 0.27394429]
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[ 0.37873417]
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[ 0.24618309]
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[ 1.48261597]
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[ 0.10039563]
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[ 0.45776593]
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[ 0.15788514]
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[ 0.67042172]
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[ 1.05208854]
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[ 1.17614311]
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[ 0.34098794]
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[ 0.06577087]
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[ 2.05024816]
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[ 0.3655126]
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[ 1.15481041]
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[ 0.40589923]
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[ 0.13875608]
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[ 0.1040519]
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[ 0.47561201]
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[ 0.51535766]
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[ 0.25036951]
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[ 0.12436279]
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[ 0.13572305]
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[ 0.29103066  0.53675235  0.41043477  0.52134538  0.42305537  0.65547236
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[ 0.43684706  0.79125194  0.30313582  0.64572436  0.38402836  0.68287049
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[ 0.31936264  0.5029912   0.61492755  0.54993098  0.34428279  0.54863654
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[ 0.63715856  0.58753915  0.44735477  0.43869527  0.27647126  0.31606408
  0.59396413  0.58105094  0.66991402  0.29346388]
Progress: 36.9% ... Training loss: 0.365 ... Validation loss: 0.589[ 1.40452938]
[ 0.67113096  0.57978539  0.53368701  0.40459886  0.3024948   0.27446268
  0.53059479  0.60012253  0.56668053  0.29308542]
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[ 1.43953939]
[ 0.75770405  0.67367732  0.55781877  0.35784356  0.42181617  0.26772505
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[ 0.70779495]
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[ 0.62663657]
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[ 0.09383076]
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[ 0.70245672]
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[ 0.46676524]
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[ 1.6808359]
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[ 0.01046432]
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[ 0.46576251]
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[ 1.02994061]
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[ 1.62649801]
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[ 1.02903306]
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[ 1.14372932]
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[ 1.65198219]
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[ 0.22035921]
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[ 0.11926643]
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[ 0.38164509]
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[ 0.43037128]
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[ 0.12001098]
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[ 0.71552232]
[ 0.16812007  0.68077355  0.4284718   0.63912411  0.49891314  0.8328341
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[ 0.03609123]
[ 0.45343048  0.48653925  0.52252557  0.47074687  0.4654248   0.4797883
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[ 0.56387685]
[ 0.54644659  0.60840393  0.58296816  0.52670793  0.36740315  0.40181478
  0.40854645  0.62046555  0.58324076  0.37986271]
Progress: 37.1% ... Training loss: 0.363 ... Validation loss: 0.596[ 0.14879694]
[ 0.37727562  0.37959428  0.67413349  0.41102124  0.50148164  0.5766657
  0.49332662  0.40430985  0.49797708  0.45980843]
[ 0.03661518]
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[ 1.16897911]
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[ 0.33555798]
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[ 0.05617115]
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[ 0.08080185]
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[ 0.47622202]
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[ 0.00110101]
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[ 0.43035288]
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[ 0.77269885]
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  0.46740602  0.4281625   0.46647767  0.33593952]
Progress: 37.4% ... Training loss: 0.368 ... Validation loss: 0.586[-0.87190644]
[ 0.79169374  0.54671008  0.65230101  0.39538619  0.45991064  0.5435552
  0.46387509  0.72667414  0.59994419  0.49860273]
[ 0.10219518]
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[ 0.69461834]
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[ 0.13167586]
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[ 0.95564642]
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[ 0.00105807]
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[ 1.84338121]
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[ 0.88382941]
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[ 1.53996966]
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[ 0.74560275]
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[ 0.2243336]
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[ 0.37917714]
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[ 0.12143372]
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[ 0.32992801  0.32706035  0.70971691  0.45079523  0.43229545  0.64282685
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[ 0.26168506]
[ 0.50180555  0.42250161  0.66148462  0.46208154  0.53494283  0.44911961
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[ 0.68189761  0.5360431   0.58738084  0.50425628  0.36118346  0.31986442
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[ 0.10276634]
[ 0.31353626  0.27357393  0.67669374  0.43231988  0.63750139  0.58869584
  0.38462265  0.22219786  0.19955863  0.55459376]
Progress: 37.7% ... Training loss: 0.359 ... Validation loss: 0.577[-0.77347971]
[ 0.54321236  0.57809717  0.45555552  0.61099633  0.41159735  0.48047072
  0.52878202  0.56942275  0.52579636  0.68289552]
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[ 0.03931112]
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[ 0.42703509]
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[ 0.95027521]
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[ 0.40938584]
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[ 1.38779105]
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[ 1.01606241]
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[ 0.12475343]
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[ 0.00644479]
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[ 0.34102166]
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[ 0.20143971]
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[ 0.50508157]
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[ 0.25954384]
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[ 0.04355731]
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[ 0.29783421]
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[ 0.28760764]
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[ 0.02214001]
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[ 0.4550214]
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[ 0.18071981]
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[ 0.06478624]
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[ 0.02843196]
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[ 0.20730948]
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[ 0.52030702]
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[ 0.00296681]
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[ 2.63105749]
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[ 1.18946712]
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[ 1.34594552]
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[ 0.28760764]
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[ 0.24017179]
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[ 1.85078831]
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[ 1.03303013]
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[ 0.17485505]
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[ 0.90285792]
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[ 0.16851239]
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[ 1.0689985]
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[ 1.04097764]
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[ 0.91028865]
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[ 0.23577373]
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[ 1.29077635]
[ 0.55774261  0.3283121   0.61050159  0.39744162  0.42169663  0.37747774
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[ 0.55706482]
[ 0.64842093  0.7216004   0.58906614  0.30634074  0.4723952   0.46871475
  0.5785355   0.63638854  0.57554729  0.56877306]
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[ 0.55511906  0.71485967  0.44563292  0.58139883  0.40392499  0.6225239
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[ 1.209122]
[ 0.62510802  0.59416986  0.56905448  0.42677142  0.43743902  0.52725951
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[ 0.09214419]
[ 0.70553254  0.70430572  0.50131201  0.55081469  0.39685712  0.4179057
  0.43517533  0.67600442  0.58428327  0.50316509]
Progress: 38.0% ... Training loss: 0.365 ... Validation loss: 0.576[ 0.38621917]
[ 0.62037944  0.57246609  0.55473106  0.51909475  0.41156956  0.5307027
  0.46351135  0.64495816  0.54604248  0.45734381]
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[ 0.00592735]
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[ 0.00509532]
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[ 0.10678159]
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[ 2.00182771]
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[ 0.28765424]
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[ 0.54434]
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[ 1.05014375]
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[ 0.13004275]
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[ 0.64580825]
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[ 0.35707694]
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[ 0.19082511]
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[ 1.25756844]
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[ 1.2431984]
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[ 0.19969405]
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[ 2.46600055]
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[ 1.7024144]
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[ 0.1392892]
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[ 0.68428081]
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[ 0.45464912]
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[ 0.42075589]
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[ 0.38282958]
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[ 0.33797283]
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[ 0.13495187]
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[ 0.43318044  0.66743727  0.4539476   0.57561614  0.27117968  0.52023251
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[ 0.37665968  0.68018827  0.37745125  0.62918885  0.38144229  0.46189494
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[ 0.47759745  0.16734153  0.77071804  0.25786234  0.459736    0.52719149
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[-0.38353923]
[ 0.414038    0.49295406  0.5674914   0.48003589  0.51765958  0.55699667
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[ 0.72276092]
[ 0.64081665  0.65021794  0.45487386  0.54302532  0.31791897  0.25137042
  0.45240846  0.60716903  0.56592333  0.47534766]
[ 1.04115066]
[ 0.51337401  0.65908048  0.39857192  0.52262512  0.29939632  0.35963633
  0.42864073  0.59406404  0.55381188  0.37188278]
Progress: 38.3% ... Training loss: 0.361 ... Validation loss: 0.579[ 0.47113784]
[ 0.64178779  0.75241593  0.4455226   0.55453495  0.15436597  0.24635949
  0.46447749  0.75569074  0.64198206  0.30070263]
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[ 0.44721982  0.76129788  0.52197271  0.47316539  0.35264595  0.62167691
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[ 0.78591875]
[ 0.46580369  0.82744064  0.3762598   0.6328803   0.24305276  0.42123494
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[ 0.47698473]
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[ 0.36873427]
[ 0.6117428   0.60528128  0.64443572  0.32240007  0.47099477  0.56154268
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[ 0.46067167]
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[ 0.78374763]
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[ 0.28667909]
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[ 1.32412317]
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[ 0.43995985]
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[ 0.53587031]
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[ 0.49676099]
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[ 0.0236496]
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[ 0.58772544]
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[ 0.12529683]
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[ 1.70628624]
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[ 1.3627352]
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[ 0.19025477]
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[ 0.07919861]
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[ 0.61451537]
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[ 0.82133132  0.65688687  0.62615747  0.26755612  0.37351949  0.3006524
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[ 1.95305256]
[ 0.75636446  0.55664351  0.56589676  0.34738726  0.32365144  0.20646423
  0.51925748  0.70010302  0.55954125  0.24206266]
[ 0.83398711]
[ 0.18450524  0.62494394  0.54257431  0.69246204  0.38168279  0.7846813
  0.29470956  0.31455774  0.43939385  0.66685852]
Progress: 38.6% ... Training loss: 0.356 ... Validation loss: 0.581[-0.53570218]
[ 0.45960698  0.77320536  0.47920561  0.51741769  0.41015594  0.66592787
  0.49640279  0.5064502   0.65586813  0.6178515 ]
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[ 0.13842184]
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[ 0.26936078]
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[ 0.13844757]
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[ 0.52302284]
[ 0.19661032  0.55629053  0.55656453  0.65853958  0.38017298  0.76759259
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[ 0.15762393]
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[ 0.52809988]
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[ 1.66585841]
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[ 0.06548452]
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[ 0.37872622]
[ 0.70267422  0.49925673  0.54425495  0.36387232  0.46362212  0.30850131
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[ 0.63198729  0.80269047  0.49111074  0.50510758  0.45947199  0.42038938
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[ 0.36128992  0.63028807  0.4473972   0.40597287  0.35245781  0.49693087
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[ 0.45867643  0.76552693  0.41107424  0.72991969  0.43968969  0.56599037
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[ 0.40111992  0.50707296  0.5165762   0.49121773  0.4565974   0.42707695
  0.45514219  0.50383468  0.45640497  0.549521  ]
Progress: 38.9% ... Training loss: 0.360 ... Validation loss: 0.581[-0.63879052]
[ 0.74112039  0.66891088  0.48609218  0.38683883  0.28248353  0.3226853
  0.50584114  0.51867978  0.65955733  0.4102517 ]
[ 0.28225244]
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[ 0.15483118]
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  0.47153556  0.48643305  0.55922609  0.47772302]
[ 0.17209345]
[ 0.42884973  0.73551595  0.52333679  0.67206492  0.47688706  0.63114748
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[ 0.01979079]
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[ 0.01310018]
[ 0.43379058  0.53218851  0.49925692  0.46839959  0.57061234  0.71489079
  0.43775654  0.50387     0.35129296  0.67144857]
[ 0.28976877]
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  0.47050358  0.56975112  0.44550029  0.33652119]
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[ 1.32212806]
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[-0.59510452]
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[ 0.24328058]
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[ 1.12312934]
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[ 0.04959322]
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[ 0.00357199]
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[ 1.36151118]
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[ 0.10722346]
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[ 0.14652266]
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[ 0.06205759]
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[ 0.19146335]
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[ 0.25714225]
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[ 0.77649029]
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[ 0.31118957]
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[ 0.22290157]
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[ 1.19786965]
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[ 0.05010593]
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[ 0.21399403]
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[ 0.3586159]
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[ 0.36180571]
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[ 0.30759005]
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[ 0.19838817]
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[ 0.39903391]
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[ 0.03145062]
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[ 0.85617092]
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[ 0.17032107]
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[ 0.31301828]
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[ 1.02886878]
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[ 0.09117486]
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[ 1.89575101]
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[ 0.08526822]
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[ 0.08999485]
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[ 0.0212951]
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[ 1.28699065]
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[ 0.25305933]
[ 0.34619117  0.77243209  0.42490132  0.66909739  0.46553174  0.712882
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[ 0.35681639]
[ 0.23353922  0.5164699   0.44909871  0.64672823  0.44280201  0.74408882
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[-0.44989714]
[ 0.45570999  0.7429656   0.29875623  0.7211469   0.30807246  0.41785577
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[ 0.45300671  0.37251558  0.65316798  0.31904225  0.56460461  0.54382259
  0.44691663  0.39667125  0.32673114  0.58247787]
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[ 0.71901533  0.56420099  0.52238488  0.31842834  0.39885475  0.25661445
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[ 0.49494217  0.36062224  0.54849012  0.47397911  0.34323462  0.31245423
  0.46004748  0.62683109  0.44361571  0.27941215]
Progress: 39.1% ... Training loss: 0.354 ... Validation loss: 0.573[-0.08127325]
[ 0.69175714  0.49693246  0.47779114  0.4514318   0.33261279  0.31145615
  0.4492811   0.44503092  0.57683852  0.39067169]
[ 0.23747214]
[ 0.64108342  0.5741041   0.53508752  0.40277307  0.38031742  0.36434385
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[ 0.40649324]
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[ 0.37833714]
[ 0.27711379  0.21869521  0.75893943  0.43691175  0.5447365   0.72984645
  0.34463037  0.25808459  0.2133526   0.52685311]
[ 1.06330736]
[ 0.47954332  0.66925688  0.41172368  0.61476577  0.3102529   0.40374793
  0.34443063  0.38502752  0.65054911  0.38464887]
[ 0.41280945]
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  0.39794182  0.45393381  0.57008665  0.72761099]
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  0.4485699   0.55407948  0.61925205  0.33529141]
[ 0.5051744]
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  0.37175509  0.35925315  0.35697281  0.4438473 ]
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[ 0.07635935]
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[ 0.26452338]
[ 0.34814838  0.62223283  0.48589836  0.48939153  0.52713924  0.61687038
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[ 0.67189285]
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[ 0.22518184]
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[ 0.00857387]
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[ 0.11657972]
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[ 0.61617466]
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[ 1.16287918]
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[ 0.77107427]
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[-0.42305965]
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  0.4142594   0.54739422  0.59169184  0.53579395]
[ 1.00154461]
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[-0.75623321]
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[ 0.21230758]
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[ 0.01006447]
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[ 0.99200626]
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[ 0.22529733]
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[ 0.09648124]
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[ 0.42894488]
[ 0.55474376  0.50201773  0.50795278  0.64868136  0.31620158  0.42028223
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[ 1.32709525]
[ 0.50853753  0.80007667  0.39209039  0.59171718  0.24116571  0.32568388
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[ 2.56011368]
[ 0.52293414  0.50301558  0.46482101  0.50813736  0.31692976  0.21327259
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[ 1.26892964]
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[ 0.555811]
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[ 0.49584351]
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[ 0.01729624]
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[ 0.29137196]
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[ 0.22697474]
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[ 0.72703213]
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[ 0.1355487]
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[ 0.26267997]
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[ 0.26818472]
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[ 1.60002614]
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[ 0.05409589]
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[ 0.29791117]
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[ 1.69906407]
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[ 1.12456855]
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[ 0.00079299]
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[ 1.9237965]
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[ 1.0672552]
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[ 0.24322387]
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[ 0.10299167]
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[ 0.3423347]
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[ 1.2512219]
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[ 0.39874456]
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[ 0.34175184]
[ 0.16097536  0.50193929  0.51440916  0.6763492   0.524898    0.75572335
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[ 0.33937373]
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[ 1.19683057]
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  0.4437501   0.67713047  0.55660761  0.41321106]
[ 0.35755483]
[ 0.23618058  0.39743816  0.54223112  0.64056253  0.45088769  0.68586307
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[ 0.36661162]
[ 0.60404937  0.62686286  0.4657616   0.54025122  0.29632268  0.36322967
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[ 0.49023042  0.61534598  0.4258864   0.54368534  0.39837582  0.43027724
  0.34158545  0.53389855  0.39459516  0.60879986]
[-0.23575394]
[ 0.77939059  0.56313113  0.52482321  0.33754687  0.25589545  0.43995617
  0.45922367  0.56317633  0.49770387  0.37964019]
[ 0.39013544]
[ 0.30124893  0.65250198  0.44271075  0.60807357  0.46322266  0.53844221
  0.43080241  0.56855782  0.60552818  0.47282283]
[ 0.60660882]
[ 0.65718849  0.62526995  0.46561115  0.52513293  0.2899776   0.30715833
  0.501137    0.57241301  0.59610282  0.44942128]
Progress: 39.4% ... Training loss: 0.379 ... Validation loss: 0.594[ 1.44912144]
[ 0.53066834  0.81071069  0.39150011  0.54654093  0.21556486  0.39076433
  0.44441644  0.67009528  0.59710756  0.46598073]
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  0.31585812  0.42243369  0.44299416  0.56040392]
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  0.49352724  0.50001245  0.70799153  0.6954129 ]
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[ 0.57331131  0.59262862  0.49842847  0.50660367  0.41696361  0.73380449
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[ 0.44843862  0.60353862  0.52761433  0.58627367  0.47386086  0.50760637
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[ 1.92570626]
[ 0.71638406  0.61038639  0.5629614   0.38788374  0.44110273  0.36772022
  0.65157979  0.71661096  0.55395842  0.2710945 ]
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  0.43408834  0.55018026  0.48210044  0.4280694 ]
[ 0.59461726]
[ 0.70799269  0.51815361  0.6471747   0.38268839  0.5298137   0.5081496
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[ 0.42079023  0.67888085  0.49004231  0.52875114  0.39852581  0.50257285
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[ 0.37994278]
[ 0.78292576  0.31947644  0.64202867  0.33375685  0.35567986  0.23568578
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[ 0.68283309  0.63303053  0.6078741   0.34544895  0.41203824  0.42737497
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[ 0.83355009]
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  0.45871439  0.46653221  0.45865402  0.44497387]
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  0.46615004  0.57299579  0.39115469  0.43537981]
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[ 0.63455111]
[ 0.57151094  0.73843047  0.42281579  0.52300702  0.25802275  0.39336509
  0.47917976  0.66459034  0.65285497  0.36721285]
[ 0.54748255]
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[ 0.49391929]
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  0.37608188  0.36145491  0.54247513  0.76062555]
[ 1.50064586]
[ 0.58562861  0.74249892  0.39868767  0.53117218  0.24629925  0.21747075
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  0.37357951  0.5106274   0.50533248  0.67640306]
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[ 0.47090911  0.69278032  0.4534933   0.59714008  0.49892104  0.75480765
  0.53111652  0.58404578  0.55604519  0.53620165]
[ 1.00323599]
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[ 2.26495639]
[ 0.81974587  0.42414637  0.61184874  0.20948055  0.28764219  0.27779553
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[ 1.4612617]
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[ 0.40629059]
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[ 0.6810763]
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[ 0.70692251]
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[ 1.13015328]
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[ 0.35345705  0.78011711  0.32133662  0.68958725  0.25527043  0.6470179
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[ 0.21683737]
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[-1.0170698]
[ 0.58418395  0.5145419   0.54770214  0.63383115  0.49551178  0.51932844
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[-0.01977196]
[ 0.34333224  0.79881056  0.38813475  0.70641658  0.49699366  0.7344891
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[-0.63310864]
[ 0.71755783  0.64469508  0.57834715  0.33491998  0.52810231  0.54285708
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[ 0.03291391]
[ 0.34808533  0.69765325  0.4196689   0.76031956  0.44391437  0.70812353
  0.44045156  0.50906924  0.50535087  0.72592932]
Progress: 39.7% ... Training loss: 0.349 ... Validation loss: 0.561[-0.36016768]
[ 0.68337071  0.47760848  0.55832142  0.31984976  0.3720998   0.39062019
  0.55418495  0.65161124  0.47618503  0.32824271]
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[ 0.08960333]
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  0.39989831  0.61137672  0.39779758  0.3992065 ]
[ 0.73258397]
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[ 0.13259592]
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  0.49491387  0.64797775  0.58451382  0.42713153]
[ 0.80637417]
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  0.49570952  0.7318664   0.63691886  0.35414487]
[ 0.33149726]
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[ 0.68273134  0.67472797  0.55502343  0.523917    0.40950039  0.48345653
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[ 1.55199145]
[ 0.37410444  0.55299838  0.54053755  0.5932143   0.37060896  0.46328107
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  0.42048415  0.59973473  0.57016914  0.47526169]
[ 1.0961912]
[ 0.6605905   0.42791219  0.54220016  0.35118327  0.28994197  0.21209113
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[ 0.80117932]
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[ 0.78832307]
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[ 0.37667406  0.45703317  0.63404515  0.5239326   0.40588406  0.62141769
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[ 0.12531247]
[ 0.29802478  0.50178552  0.46845714  0.43297312  0.53859158  0.64585081
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[ 0.6939577   0.65555278  0.52415786  0.38234159  0.39599902  0.36218306
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[-1.52725159]
[ 0.59120934  0.62490861  0.48629529  0.46382206  0.28396258  0.27746643
  0.53800919  0.72207205  0.59621315  0.2170086 ]
Progress: 40.0% ... Training loss: 0.349 ... Validation loss: 0.559[-0.00451946]
[ 0.46821159  0.74294877  0.44351818  0.63717028  0.57546743  0.63053773
  0.33229637  0.53598538  0.48235114  0.76633269]
[ 0.14533776]
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[ 0.27826163]
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[ 0.2902504]
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[ 0.59497079]
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[ 1.05334792]
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[ 0.00370489]
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[ 1.99257909]
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[ 0.09941031]
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[ 0.12811775]
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[ 0.6666562]
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[ 0.09671681]
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[ 0.08566917]
[ 0.31580387  0.42472294  0.67541818  0.50150247  0.58167093  0.74044406
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[ 1.60593774]
[ 0.49583007  0.44260762  0.44865577  0.54748919  0.30938068  0.31851207
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[ 0.03937137]
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[ 1.35121237]
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[ 0.37957703]
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[ 0.67487779]
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[ 0.76762537  0.51003457  0.59938573  0.34426421  0.33071885  0.51086515
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[ 0.31244824]
[ 0.59985515  0.76796282  0.33813077  0.57791364  0.25903086  0.28728931
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[ 0.30939562  0.51121826  0.44516833  0.55555471  0.4932932   0.74656642
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[-0.25640119]
[ 0.53069431  0.4136221   0.53636533  0.25913816  0.46223749  0.48702133
  0.41270118  0.55288622  0.43086748  0.34020344]
[ 0.40391909]
[ 0.36899994  0.60244013  0.5119342   0.47358377  0.42140234  0.50382813
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[ 0.24851118  0.5932196   0.39532391  0.67380857  0.48790297  0.54174049
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[ 0.30701876]
[ 0.23796515  0.52695052  0.59472495  0.44520747  0.60273201  0.70524211
  0.43020607  0.25890349  0.47710036  0.6347116 ]
Progress: 40.3% ... Training loss: 0.345 ... Validation loss: 0.564[-0.1580435]
[ 0.56398045  0.49358205  0.50679872  0.5391035   0.39611529  0.3968957
  0.54089072  0.51318364  0.48764557  0.35630463]
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[ 0.10862826]
[ 0.37699813  0.66669886  0.52310759  0.6635196   0.4736564   0.68996874
  0.39727161  0.4922067   0.58890508  0.63201083]
[ 0.02568136]
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  0.49153591  0.56432821  0.62610148  0.5459118 ]
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[ 0.05784625]
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[ 0.79923675]
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[ 0.03823616]
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[ 0.4198009]
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[ 0.4509283]
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[ 0.22451341]
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[ 0.98574326]
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[ 0.17130203]
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[ 0.33476222]
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[ 0.35901212]
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[ 0.01039982]
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[ 0.56531775]
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[ 0.24162189]
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[ 0.28612139]
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[ 0.74475687]
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[ 0.33895003]
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[ 0.20314789]
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[ 0.24725069]
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[ 0.10947102]
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[ 0.45715464]
[ 0.57638252  0.56015933  0.60774233  0.4329      0.46551024  0.6524223
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[ 0.3018447]
[ 0.55289384  0.41688851  0.57418003  0.29625238  0.37392737  0.44856031
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[ 1.37710906]
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[ 0.01991914]
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[ 1.16877835]
[ 0.58634459  0.3810694   0.54087574  0.31458036  0.39180329  0.32445413
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[ 0.43490058]
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[ 0.56934675]
[ 0.21260624  0.39796867  0.63664452  0.58467075  0.52585912  0.838239
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[ 0.64711067  0.69299593  0.46328723  0.43168165  0.27903796  0.50222756
  0.46876284  0.57994888  0.60721292  0.53314983]
[ 0.15621259]
[ 0.39685838  0.65988546  0.36096169  0.52732242  0.42046233  0.65497237
  0.35783788  0.62456583  0.5207113   0.62182409]
[ 0.37127226]
[ 0.19367508  0.38197076  0.58627385  0.51944905  0.53578579  0.75522314
  0.38306451  0.35097689  0.3343112   0.53743361]
[ 1.39508234]
[ 0.67901987  0.69045168  0.44126419  0.54752546  0.23273362  0.28501219
  0.470116    0.57811738  0.64615863  0.43517981]
[ 0.18797058]
[ 0.65243543  0.48934885  0.60759116  0.33348098  0.43427087  0.32063697
  0.59391144  0.52069717  0.49024033  0.50783852]
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[ 0.59519712  0.75415806  0.49807435  0.4960769   0.39768729  0.74911231
  0.48229041  0.59455161  0.59253777  0.66976403]
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[ 0.50622382  0.65918378  0.37942713  0.68038435  0.28498137  0.41796943
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[ 0.3872968]
[ 0.44303135  0.54569258  0.53494311  0.5343501   0.46528215  0.52038448
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[ 0.02051961]
[ 0.45111096  0.65152929  0.47004017  0.46161463  0.43599683  0.58095333
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[ 0.62520061  0.62566902  0.51630176  0.48754337  0.42192545  0.35921167
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[ 0.50937817  0.44694131  0.57697724  0.49012975  0.41525407  0.5471086
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[ 0.21942485]
[ 0.53217395  0.67248058  0.43997045  0.51170642  0.31123202  0.38336332
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[ 0.52996607]
[ 0.2157719   0.54980538  0.37856793  0.65453289  0.55190595  0.76053652
  0.37721485  0.44192809  0.38518418  0.6628191 ]
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  0.40937718  0.37481907  0.70529019  0.44293771]
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[ 0.42897213  0.39494351  0.64580502  0.36429771  0.38911886  0.5876406
  0.43455978  0.45723914  0.36700852  0.41747193]
[ 1.37377972]
[ 0.69331129  0.42288426  0.60485089  0.32329283  0.45521888  0.49268994
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[ 0.22455312]
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[ 0.93022349]
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[ 0.58526321  0.77778236  0.34861986  0.53667297  0.2397811   0.55577989
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[ 0.37964503]
[ 0.14771314  0.72085567  0.41595507  0.69282291  0.45440829  0.7440347
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[ 0.00932275]
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[ 0.34030213  0.46179327  0.59659234  0.56038817  0.3450268   0.56808715
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[ 0.35390315  0.50484931  0.52357573  0.61764639  0.41364241  0.57467906
  0.43634315  0.43049022  0.5306346   0.48730231]
[ 0.22814174]
[ 0.24350635  0.3869256   0.46251063  0.58063668  0.56723196  0.49763817
  0.44920516  0.40787528  0.37904494  0.63098299]
[-0.22803449]
[ 0.70682334  0.7466423   0.53890262  0.44367352  0.4486031   0.52864674
  0.50539799  0.56750005  0.59577065  0.52225007]
[ 0.13151614]
[ 0.33768166  0.54576861  0.4184862   0.67272042  0.43246228  0.44949201
  0.50682028  0.52691155  0.45805331  0.51538912]
[ 0.78331869]
[ 0.71570546  0.55444157  0.57357374  0.34799101  0.28597821  0.34970418
  0.60363977  0.79781391  0.49006514  0.30104011]
[ 0.60769434]
[ 0.46569497  0.37375779  0.64515137  0.48968812  0.39063573  0.4610299
  0.41698669  0.51915406  0.42289     0.41024046]
[-0.48682948]
[ 0.60848042  0.75855441  0.40074905  0.48959824  0.30610589  0.49227483
  0.48152173  0.59353067  0.66908272  0.55539248]
Progress: 40.6% ... Training loss: 0.351 ... Validation loss: 0.570[-0.81460732]
[ 0.31582838  0.6274963   0.44492961  0.60721255  0.36775924  0.47546235
  0.39031804  0.5869252   0.58052056  0.4260572 ]
[-1.03059498]
[ 0.58781163  0.65853889  0.52672527  0.38816325  0.345977    0.39434695
  0.54991014  0.5514943   0.65748669  0.42562928]
[ 0.69214323]
[ 0.37940644  0.54969673  0.47969723  0.52257668  0.41968788  0.39395984
  0.43087627  0.46280827  0.5380989   0.42802211]
[ 0.14201491]
[ 0.3428771   0.35165106  0.56924044  0.50054464  0.56710428  0.5320516
  0.46287042  0.31447945  0.32704875  0.69187206]
[-0.15112509]
[ 0.54345764  0.68397528  0.39269939  0.57843267  0.36352073  0.70001856
  0.32473352  0.48471733  0.49215002  0.68010052]
[-0.32260953]
[ 0.68021604  0.36927465  0.65056594  0.34481289  0.51562424  0.38708982
  0.45836068  0.54204268  0.44289223  0.4168774 ]
[-0.28601952]
[ 0.59955661  0.73718039  0.46922883  0.40336612  0.36539774  0.32531612
  0.52616152  0.72177183  0.53689737  0.47679037]
[-0.03495944]
[ 0.4842789   0.61613074  0.48744659  0.63946008  0.4223497   0.54220808
  0.38196365  0.49960417  0.55310139  0.43280344]
[-0.93243816]
[ 0.59872524  0.61581624  0.49492855  0.5004026   0.277545    0.3685906
  0.47749441  0.50912231  0.60237472  0.37225398]
[ 0.57152991]
[ 0.42606055  0.52579611  0.58548109  0.39290703  0.38363943  0.48449791
  0.40675686  0.41429238  0.43110352  0.41630436]
[-0.3685851]
[ 0.63473427  0.60446618  0.60362816  0.34176521  0.44568928  0.62819812
  0.43025563  0.61096266  0.46868362  0.56564282]
[-0.04927932]
[ 0.65830623  0.66267285  0.52997522  0.50968834  0.30701425  0.47591069
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[-0.17574972]
[ 0.44624882  0.63298438  0.47618578  0.62161116  0.47059059  0.73164728
  0.42326892  0.51840652  0.60998815  0.5901777 ]
[-0.36687953]
[ 0.33373925  0.57610668  0.45058959  0.65278629  0.46696611  0.60171964
  0.51622141  0.47788152  0.52900285  0.35827969]
[ 0.17410729]
[ 0.23490531  0.43303488  0.47028205  0.58485501  0.60242263  0.6547515
  0.47024216  0.4082431   0.22933451  0.49499203]
[-0.26174842]
[ 0.34717     0.70012351  0.41907906  0.65924287  0.29697413  0.70415839
  0.45908611  0.64222229  0.53859087  0.5421326 ]
[ 0.7252665]
[ 0.54110437  0.67386509  0.46673509  0.47878805  0.29160701  0.37637866
  0.43956065  0.64560748  0.55553408  0.40331849]
[ 0.97759829]
[ 0.67256239  0.55251678  0.59771401  0.56342851  0.4167448   0.56149993
  0.40220424  0.56309043  0.56370525  0.47588359]
[-0.16375148]
[ 0.318227    0.45286469  0.43990765  0.63283035  0.4201776   0.35797672
  0.58138229  0.59658014  0.43342765  0.49451101]
[-0.04641914]
[ 0.54027229  0.57026546  0.59089966  0.51483046  0.50901003  0.70095292
  0.49269988  0.44662812  0.47315891  0.5896382 ]
[-0.44012672]
[ 0.63909051  0.68736892  0.55414724  0.29416     0.44963708  0.53619384
  0.51178318  0.5221638   0.58743867  0.55772193]
[ 0.17849272]
[ 0.73737188  0.73970028  0.47908774  0.35536878  0.26159407  0.43580378
  0.51752659  0.49628859  0.60512161  0.51353821]
[-0.48821073]
[ 0.52284908  0.62410864  0.42918845  0.57044756  0.35078876  0.46163456
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[-0.22630625]
[ 0.68877428  0.77996013  0.4284567   0.37712438  0.38556623  0.48586035
  0.56596257  0.59970569  0.6489837   0.55640662]
[ 0.38747895]
[ 0.58356764  0.67483407  0.5435127   0.46651152  0.47586275  0.54200236
  0.49690337  0.46670592  0.63718267  0.4956479 ]
[ 0.26669349]
[ 0.31783598  0.41288314  0.53094069  0.54346893  0.58277041  0.45844697
  0.4319706   0.37203762  0.46269791  0.65386174]
[-0.43709496]
[ 0.60367324  0.66321155  0.61834947  0.36244112  0.56442589  0.4025919
  0.51218499  0.53889386  0.52140113  0.66154089]
[-0.79247984]
[ 0.68608976  0.65461157  0.49886779  0.53284224  0.18399533  0.27624629
  0.44987154  0.6472786   0.61079057  0.29246016]
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[ 0.36369563  0.55751598  0.54409844  0.4190451   0.46127871  0.60590382
  0.45500783  0.44605776  0.48075804  0.44353012]
[ 1.0057936]
[ 0.58378718  0.40532471  0.6203712   0.33750457  0.41899786  0.42022108
  0.51352562  0.54439303  0.4148326   0.31632112]
[ 0.11917618]
[ 0.62648593  0.63140621  0.60003237  0.41879179  0.48506393  0.48029185
  0.62523997  0.5616757   0.50980131  0.64119856]
[ 0.09957027]
[ 0.26720506  0.47139823  0.58573021  0.50876077  0.45996068  0.71125182
  0.44642879  0.38512532  0.48771134  0.59541843]
[-0.13156224]
[ 0.58665238  0.6296219   0.50907696  0.59823961  0.30291316  0.50395247
  0.4361738   0.43724939  0.528737    0.41470747]
[ 1.41466917]
[ 0.55489215  0.50246015  0.51568938  0.59754672  0.38687743  0.62064395
  0.44750464  0.5660922   0.49944404  0.51155468]
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  0.41910857  0.61186789  0.60947719  0.6105819 ]
[-0.17261244]
[ 0.64967389  0.54119127  0.60867507  0.45668273  0.47696527  0.53953976
  0.4639143   0.55195075  0.51746678  0.45205004]
[ 2.3604318]
[ 0.65548646  0.52679065  0.49542434  0.32008044  0.36955292  0.27815984
  0.61210394  0.76648541  0.46721867  0.2713697 ]
[ 0.15957336]
[ 0.38817147  0.55722319  0.39540732  0.65786512  0.34302044  0.59001347
  0.38103266  0.43062659  0.45254805  0.45144208]
[-0.22162205]
[ 0.39722077  0.50048621  0.55010366  0.3482317   0.50149028  0.50999342
  0.49161485  0.46360366  0.44788424  0.51335398]
[ 0.04914966]
[ 0.45308589  0.65766101  0.5899229   0.41496093  0.5194026   0.68924824
  0.53413416  0.42706778  0.57392071  0.65449238]
[ 0.52266955]
[ 0.30064412  0.57207887  0.44681101  0.57034381  0.35645034  0.47243401
  0.45080693  0.48868991  0.58946067  0.37350647]
[-0.54993946]
[ 0.47186882  0.49883349  0.6502875   0.41990327  0.59357868  0.57200046
  0.4287807   0.41715829  0.4992853   0.5003703 ]
[ 1.51738334]
[ 0.64319829  0.5366272   0.54930028  0.42811718  0.27343463  0.49565655
  0.42692243  0.41092305  0.44703881  0.46380022]
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[ 0.66127179  0.62628421  0.61137834  0.45529474  0.5112641   0.44867433
  0.53807633  0.57196481  0.55117643  0.52739726]
[-0.11421565]
[ 0.45504889  0.59646779  0.54581802  0.4832794   0.52743215  0.71778255
  0.5651479   0.49002194  0.48104062  0.62916184]
[ 1.5836248]
[ 0.56290044  0.64610267  0.38944716  0.45814125  0.35386077  0.19640166
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[ 0.51414032  0.5733947   0.53148749  0.60357358  0.5733862   0.48458758
  0.38904934  0.49946135  0.5409714   0.55808202]
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[ 1.36303871]
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[ 0.2573713]
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[ 0.05777502]
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[ 0.18104065]
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[ 1.1777086]
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[ 0.06833643]
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[ 0.34371593]
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[ 0.86013036]
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[ 0.65055782]
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[ 2.0089635]
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[ 1.06880876]
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[ 0.66652359]
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[ 0.24101964]
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[ 2.18587808]
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[ 0.02719515]
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[ 0.05414867]
[ 0.75629847  0.56742178  0.6075463   0.36400312  0.4590273   0.42814894
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[ 0.05027084]
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[ 0.11827298]
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[ 0.6948917]
[ 0.56345257  0.640084    0.37072502  0.59605984  0.27095456  0.24245217
  0.48503038  0.54731717  0.65556278  0.33006572]
[ 0.45327859]
[ 0.37263667  0.60224207  0.51427258  0.46990862  0.41769226  0.49594062
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[-0.32735685]
[ 0.58352832  0.72097983  0.46720028  0.47110178  0.36994893  0.40637457
  0.39778401  0.59558085  0.65613789  0.64921418]
[ 1.15196265]
[ 0.59538976  0.58345317  0.52679973  0.42547983  0.42133628  0.34218259
  0.37760595  0.52665827  0.5666038   0.39430626]
[-0.06165023]
[ 0.42136876  0.32256589  0.65715314  0.30451495  0.61796949  0.6287521
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[-0.53546163]
[ 0.82405268  0.60123101  0.514156    0.40432734  0.30169019  0.24197516
  0.48449904  0.5504966   0.53485071  0.49432985]
Progress: 40.9% ... Training loss: 0.348 ... Validation loss: 0.564[-0.51794284]
[ 0.53608509  0.58906963  0.55829891  0.43996553  0.40466322  0.45550827
  0.58630054  0.61098456  0.49187862  0.43857482]
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[ 1.36720446]
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  0.5291894   0.56206781  0.59309094  0.37082055]
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[ 0.29884875  0.56820143  0.53822035  0.51960015  0.49410283  0.61798333
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[ 0.53499366  0.6003402   0.48489771  0.65666755  0.55470025  0.46486049
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[ 0.20772222]
[ 0.23130517  0.55837834  0.38200888  0.58652062  0.40504091  0.75730785
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[ 0.07562312]
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  0.57205537  0.72197909  0.58808651  0.48681859]
[ 0.33405013]
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[ 0.28284869]
[ 0.73480605  0.64891025  0.4865259   0.50949388  0.28488028  0.26916494
  0.50693499  0.52660657  0.58228922  0.48035446]
[ 1.69010224]
[ 0.73984761  0.48764745  0.53008361  0.30655722  0.29810722  0.20484481
  0.55373347  0.70920342  0.54700365  0.22061623]
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[ 0.55903284  0.80915255  0.41671052  0.58305928  0.35951243  0.5061115
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Progress: 41.1% ... Training loss: 0.346 ... Validation loss: 0.558[ 1.3680346]
[ 0.52349413  0.39545714  0.51759357  0.52269143  0.24624331  0.3048063
  0.48449281  0.61492408  0.50951538  0.22295311]
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[ 0.14415839]
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[ 1.21763889]
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[ 1.81917746]
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[ 0.66515098]
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[ 0.35017974]
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[ 0.45486353]
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[ 0.25056292]
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[ 0.14042388]
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[ 0.55235046]
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[ 0.03232943]
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[ 0.564572    0.63196601  0.53135737  0.55054711  0.62886056  0.65386686
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[ 0.62226222]
[ 0.31480181  0.45472928  0.55035444  0.50750245  0.45562727  0.47384122
  0.3990046   0.45506121  0.57458772  0.40521129]
[ 0.5542241]
[ 0.41971915  0.49661601  0.49207543  0.39571484  0.38797233  0.43187093
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[ 0.42469897  0.32074487  0.60162909  0.57546606  0.36686397  0.65253708
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[ 0.5570328   0.30250729  0.58203028  0.40383353  0.34558108  0.21981351
  0.47062021  0.64616932  0.43009048  0.18969441]
Progress: 41.4% ... Training loss: 0.341 ... Validation loss: 0.548[ 0.71347004]
[ 0.77649497  0.50422173  0.7102836   0.22467596  0.41847708  0.39325573
  0.6838509   0.72683372  0.51719944  0.37108121]
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[ 0.61405304]
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[ 0.02371902]
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[ 0.29905026]
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[ 0.86505472]
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[ 0.01938449]
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[ 0.53450345]
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[ 0.18407184]
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[ 0.95509467]
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[ 0.55683705]
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[ 0.16081721]
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[ 0.96437771]
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[ 0.26281553]
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[ 0.88647977]
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[ 1.03456834]
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[ 0.70908338]
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[ 0.11056466]
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[ 0.80727871]
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[ 1.08165505]
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[ 2.71918402]
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[ 0.10071672]
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[ 0.44150878]
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[ 0.47804904]
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[ 0.48871201]
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[ 0.525909]
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[ 0.09470374]
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[ 0.22350422]
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[ 0.0329239]
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[ 0.05843755]
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[ 0.47377691]
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[ 0.04574297]
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[ 0.13394747]
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[ 0.09543588]
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[ 0.57418566]
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[ 0.33301543]
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[ 0.10018201]
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[ 0.0368472]
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[ 0.82907824  0.40197975  0.71081794  0.26226973  0.39682721  0.2454537
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[ 1.9660982]
[ 0.74929439  0.73461433  0.52802244  0.3693095   0.2881459   0.32421014
  0.50152513  0.78547532  0.69232803  0.37443759]
[-0.27931051]
[ 0.54756735  0.58975014  0.50846409  0.61754441  0.42266188  0.52517548
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[ 0.35193922]
[ 0.49149407  0.581107    0.51040909  0.55908811  0.31618616  0.46525673
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[ 0.50070215  0.56196048  0.579494    0.4541772   0.46104539  0.55986438
  0.50704887  0.52655286  0.40965107  0.47314897]
Progress: 41.7% ... Training loss: 0.340 ... Validation loss: 0.545[-0.12466794]
[ 0.49261589  0.64378281  0.48527881  0.68204147  0.54943578  0.7067218
  0.42898831  0.4776368   0.4497164   0.55547502]
[ 1.25602202]
[ 0.62106657  0.80891669  0.30865919  0.50537798  0.23407969  0.30455095
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  0.5183359   0.5285063   0.35721001  0.48165126]
[ 0.26741767]
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  0.37906692  0.42046175  0.60238072  0.65325052]
[ 1.31825223]
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[ 0.23963752]
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  0.36556918  0.47292787  0.60610094  0.68845113]
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[ 0.1279458]
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[ 0.03892258]
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[ 1.01951389]
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  0.54557035  0.66139393  0.58839816  0.3237276 ]
[ 0.57280678]
[ 0.5962126   0.66673935  0.44103668  0.65998773  0.24451941  0.3464107
  0.48393477  0.59617924  0.59608646  0.37861397]
[ 0.68920634]
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[ 0.14645902]
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[ 1.08303934]
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[ 0.2697817]
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[ 0.04138331]
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[ 0.53262715]
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[ 0.35584195]
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[ 0.2707217]
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[ 0.2849034]
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[ 0.63271478]
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[ 0.34148366]
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[ 1.41613109]
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[ 0.12021018]
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[ 0.23862667]
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[ 0.80576376]
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[ 1.51806059]
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[ 0.5677044]
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[ 0.42502016]
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[ 0.48759748]
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[ 0.13541802]
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[ 0.46895327]
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[ 1.19174173]
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[ 0.64704236]
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[ 0.45148269]
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[ 0.28446105]
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[ 0.56468382]
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[ 0.45336779  0.60682469  0.40632934  0.52546328  0.33084002  0.45906067
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[ 0.74945638  0.69204846  0.44602427  0.28893483  0.20657053  0.17325032
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[ 0.21148766  0.33431421  0.56068422  0.58296896  0.44674546  0.53182325
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[-1.2088436]
[ 0.49967467  0.53528599  0.52105454  0.49753903  0.41398301  0.52791549
  0.59801078  0.65453778  0.53937522  0.34003811]
Progress: 42.0% ... Training loss: 0.339 ... Validation loss: 0.544[-0.23660228]
[ 0.7309858   0.3583655   0.68441478  0.24394557  0.44381895  0.4832571
  0.48396807  0.5840457   0.52817003  0.43137924]
[ 0.21615363]
[ 0.56727125  0.51909425  0.54232107  0.36241983  0.44577816  0.55857979
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[ 0.00694237]
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[ 0.47475176]
[ 0.41964958  0.59793428  0.48638611  0.48267782  0.34875397  0.53187512
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[ 0.02362403]
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[-1.19440023]
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[ 0.12110574]
[ 0.37246125  0.65182949  0.41053434  0.56038285  0.47215908  0.62858111
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[ 2.11720822]
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  0.48806467  0.63311129  0.55883669  0.34583444]
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  0.44826741  0.45740331  0.38028181  0.48307164]
[ 0.40126781]
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[ 0.15864197]
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[ 0.31362629]
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[ 0.8235095]
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  0.4315694   0.49875553  0.36313804  0.47069221]
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[ 0.17336654]
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[ 0.38194645]
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[ 0.09748776]
[ 0.48723822  0.60483857  0.60905494  0.57183151  0.53411801  0.60150291
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[ 0.16266814]
[ 0.26574301  0.63846907  0.44444317  0.47215557  0.36039997  0.62811767
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[ 0.31333274  0.73564388  0.34625556  0.50910754  0.37107532  0.59541276
  0.44034598  0.55845305  0.49447449  0.50714531]
Progress: 42.3% ... Training loss: 0.342 ... Validation loss: 0.545[ 0.48064439]
[ 0.27482753  0.66592096  0.50564379  0.55255145  0.45526117  0.73595583
  0.36473921  0.34654693  0.43872447  0.69042967]
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[ 0.28711494]
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[ 1.47319063]
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[ 0.35918697]
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[ 0.22389245]
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[ 0.3652237]
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[ 1.25006676]
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[ 0.05014039]
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[ 0.76410056]
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[ 0.33949313]
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[ 0.32320824]
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[ 0.87260523]
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[ 0.40783993  0.63112045  0.45198199  0.58995479  0.29002113  0.59368394
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[ 0.26622851]
[ 0.33192433  0.79741952  0.437494    0.70439401  0.4826617   0.68441637
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[ 0.00517853]
[ 0.65177767  0.43647974  0.60903961  0.3717856   0.45910767  0.42914054
  0.60653121  0.57988077  0.42975071  0.40984996]
Progress: 42.6% ... Training loss: 0.338 ... Validation loss: 0.538[-0.71446648]
[ 0.52875798  0.54793965  0.67941684  0.30557562  0.52210673  0.4554882
  0.47139307  0.51683363  0.50987468  0.47945394]
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[ 0.32705965]
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[ 0.1605026]
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[ 0.17406099]
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[ 0.16157412]
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[ 0.37042398]
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[ 0.04991985]
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[ 0.35541599]
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[ 0.12778944]
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[ 0.21619271]
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[ 0.07713839]
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[ 1.56417624]
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[ 0.61523191]
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[ 0.45572186]
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[ 0.0752101]
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[ 0.28653161]
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[ 0.46874967]
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[ 1.75287635]
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[ 0.17266929]
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[ 1.16315212]
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[ 0.99726916]
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[ 0.18500334]
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[ 0.12735746]
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[ 0.7964105]
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[ 0.14185205]
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[ 0.04503013]
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[ 0.0069401]
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[ 0.23537543]
[ 0.2698187   0.75262484  0.33573648  0.70721029  0.47711027  0.66195568
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[ 0.06943418]
[ 0.39623864  0.58498671  0.45197491  0.62908882  0.31107565  0.52663584
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[ 0.42329925  0.28821096  0.70999016  0.45013195  0.45243785  0.55916788
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[ 1.1774793]
[ 0.7871194   0.5617509   0.57962661  0.31681818  0.43995921  0.25070425
  0.58496616  0.67418293  0.6501198   0.2346547 ]
[-0.31844194]
[ 0.62838143  0.67015357  0.54921708  0.36377431  0.49467533  0.61902952
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[ 0.51609176  0.48280782  0.67300366  0.44695912  0.63904407  0.57828447
  0.46335994  0.43445721  0.46183074  0.47900861]
Progress: 42.9% ... Training loss: 0.397 ... Validation loss: 0.593[ 0.32926834]
[ 0.41880636  0.74724476  0.35763984  0.70777519  0.59014665  0.68318211
  0.36156976  0.56759434  0.46043384  0.73979194]
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[ 0.74052367]
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[ 0.03901307]
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[ 0.04114497]
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[ 0.71715456]
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[ 0.03272263]
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[ 0.66715584]
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[ 0.02073366]
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[ 0.05347374]
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[ 0.08156091]
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[ 0.23038816]
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[ 1.16646697]
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[ 0.33156815]
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[ 0.86788572]
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[ 0.12881422]
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[ 0.28616725]
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[ 1.0325371]
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[ 0.37890029]
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[ 0.82188948]
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[ 0.13742281]
[ 0.48378896  0.69999499  0.5736784   0.46620242  0.42379618  0.64754254
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[ 0.00303194]
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[ 0.88687729]
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[ 0.20733536]
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[ 0.15648234]
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[ 0.10546321]
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[ 0.20894135]
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[ 0.16118242]
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[ 0.62824417]
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[ 1.44006087]
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[ 1.29422237]
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[ 0.03182727]
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[ 0.28316085]
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[ 0.36392339]
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[ 1.15871806]
[ 0.76025422  0.34654136  0.71007645  0.38785787  0.40323324  0.3114482
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[ 0.05100182]
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[ 0.82116267]
[ 0.22343329  0.46966822  0.63296016  0.51649135  0.51792005  0.62354804
  0.40728315  0.40237733  0.4892796   0.55846389]
[ 0.58671419]
[ 0.26527012  0.57919362  0.54459573  0.55209059  0.49832334  0.72272224
  0.32599955  0.40280533  0.43700082  0.67985485]
[ 0.40319084]
[ 0.36988175  0.63176841  0.43681129  0.39930082  0.47909866  0.76045015
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[ 0.12666017]
[ 0.26896527  0.64332181  0.4327533   0.67272705  0.42115839  0.58957061
  0.38527843  0.3883656   0.45364778  0.56329814]
Progress: 43.1% ... Training loss: 0.354 ... Validation loss: 0.562[ 0.39495122]
[ 0.70355027  0.5472288   0.55940215  0.36402139  0.38283443  0.34727604
  0.53356333  0.55253533  0.57632437  0.37863051]
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[ 0.70288853]
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[ 0.70624292]
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[ 0.29483798]
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[ 0.28996118]
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[ 0.12810537]
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[ 0.12898527]
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[ 0.37385944]
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[ 0.38925816]
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[ 0.50984748]
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[ 0.236493]
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[ 0.4176094]
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[ 1.06733912]
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[ 0.10012539]
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[ 1.72140571]
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[ 0.15847707]
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[ 0.09588763]
[ 0.44511887  0.68404757  0.4386758   0.57880311  0.40718536  0.53336127
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[ 0.18849805]
[ 0.19329304  0.45074224  0.53426582  0.55473114  0.52499362  0.67569331
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[ 0.33740553  0.68851698  0.520776    0.47329924  0.59625625  0.65656811
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[-0.17442017]
[ 0.52029264  0.55989987  0.54450903  0.59399131  0.391109    0.39643982
  0.48761951  0.70176189  0.56823765  0.34231925]
Progress: 43.4% ... Training loss: 0.352 ... Validation loss: 0.550[-0.12245187]
[ 0.68998059  0.78655187  0.52541158  0.52099974  0.45134384  0.48036575
  0.45047339  0.65860014  0.70667455  0.68274611]
[ 0.01759586]
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[ 0.47778937]
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[ 0.25751448]
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[ 0.38412864]
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[ 0.18263457]
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[ 0.85169037]
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[ 0.56308981]
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[ 0.02803662]
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[ 0.53000185]
[ 0.18552608  0.53695783  0.46504197  0.47091625  0.60300068  0.70326738
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[ 0.10552397]
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[ 1.15623237]
[ 0.70565449  0.51182318  0.58026869  0.26616375  0.28340443  0.35179241
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[ 0.47740821  0.47365416  0.63681493  0.41395616  0.61314764  0.54411075
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[ 0.47415861  0.63162248  0.42930385  0.57557781  0.26036233  0.5506496
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[ 0.52827946  0.50907692  0.57286012  0.59089534  0.4451517   0.61303524
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[ 0.51841411  0.42818027  0.62018606  0.37289535  0.59243523  0.53429984
  0.45711535  0.39654023  0.35052719  0.59223258]
Progress: 43.7% ... Training loss: 0.338 ... Validation loss: 0.538[ 0.69930223]
[ 0.45986003  0.65289228  0.49574019  0.42074033  0.43996833  0.32339304
  0.46534227  0.63580914  0.62853765  0.4615472 ]
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[ 0.15040793]
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[ 0.18769758]
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[ 0.33789702]
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[ 0.02045775]
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[ 0.28206112]
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[ 0.7457691]
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[ 1.13542868]
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[ 0.62057645]
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[ 0.12358317]
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[ 0.28737722]
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[ 1.31834442]
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[ 0.51980537]
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[ 1.33040302]
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[ 1.24375275]
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[ 1.82133534]
[ 0.67197735  0.47290954  0.61690117  0.33256765  0.34206333  0.32054283
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[ 0.10338037]
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[ 1.09257344]
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[ 0.34755969]
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[ 0.29978992]
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[ 0.30522394]
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[ 0.38887819  0.58904098  0.3948058   0.54577489  0.39880166  0.70616853
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[ 1.3926045]
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[ 0.11154317]
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[ 0.570081    0.53716103  0.56895036  0.46918453  0.5927424   0.63607296
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[ 0.19686043]
[ 0.2003283   0.71079127  0.51099301  0.64843998  0.38056965  0.71279826
  0.35838622  0.38807551  0.50291413  0.61905161]
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[ 0.38973733  0.35809246  0.61862732  0.51228638  0.40128158  0.39015258
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[ 0.57354754  0.47228083  0.60514076  0.2858481   0.4232883   0.47457852
  0.50908082  0.75658948  0.50085921  0.36550767]
[ 0.5517405]
[ 0.4717004   0.82641226  0.37976413  0.62471109  0.23904573  0.42071055
  0.42871374  0.63680107  0.57973103  0.6348701 ]
[ 0.19515953]
[ 0.20357596  0.68106944  0.51298202  0.52223577  0.42471582  0.63607907
  0.41566319  0.47936352  0.49861194  0.59498193]
[-0.05398507]
[ 0.25669272  0.49445238  0.53812815  0.59595244  0.44635678  0.69521266
  0.45626857  0.38904079  0.51684496  0.46719652]
Progress: 44.0% ... Training loss: 0.335 ... Validation loss: 0.535[-0.6978232]
[ 0.45978569  0.2771096   0.71135445  0.28792239  0.50658191  0.36418228
  0.5031797   0.45068015  0.39068531  0.30011373]
[ 0.32880047]
[ 0.26923482  0.3932439   0.52908502  0.48558685  0.62325076  0.61870429
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[ 0.29434354]
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  0.39816591  0.43951468  0.38155382  0.42859092]
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  0.49407565  0.57208583  0.55845713  0.38474575]
[ 0.13052404]
[ 0.35407006  0.5958615   0.55888381  0.50672412  0.53784329  0.71048639
  0.36609868  0.37483713  0.46216626  0.65584507]
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  0.4588513   0.45730871  0.47706869  0.29502243]
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[ 0.48667234]
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  0.48534198  0.55649063  0.40199571  0.46958152]
[ 0.03213892]
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[ 0.53834059]
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  0.5503909   0.74257284  0.52734375  0.30967182]
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[ 0.08463393]
[ 0.41740403  0.74701949  0.35728166  0.70736283  0.5895607   0.68393885
  0.36139997  0.56900375  0.46028318  0.73882962]
[ 2.0451878]
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[ 0.90980557]
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[ 0.4301438]
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[ 0.11675583]
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[ 0.31130706]
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[ 0.12934202]
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[ 0.24586587]
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[ 0.17813984]
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[-0.35342704]
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[ 0.28160318]
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[ 1.2929326]
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[ 0.90888446]
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[ 0.3589093]
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[ 2.03557648]
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[ 0.15411922]
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[ 0.00026342]
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[ 0.43446018]
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[ 0.16986083]
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[ 0.10373465]
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[ 0.20421576]
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[ 0.09309848]
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[ 0.02253018]
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[ 1.19768831]
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[ 0.86428022]
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[ 0.83088525]
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[ 1.31506388]
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[ 0.57059789]
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[ 0.56192818]
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[ 0.25496311]
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[ 1.08119533]
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[ 2.0645582]
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[ 0.03766833]
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[ 0.10453217]
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[ 0.62056075]
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[ 0.11924814]
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[ 0.06305293]
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[ 0.73575908]
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[ 0.66757538]
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[ 0.4567518]
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[ 0.04202012]
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[ 0.59171361]
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[ 0.5428044]
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[ 0.79405993]
[ 0.5558484   0.66010472  0.46111036  0.53996743  0.2648767   0.48574869
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[ 0.41543921  0.62682175  0.41792287  0.49258418  0.4855806   0.68662782
  0.29601698  0.50196936  0.42365478  0.68303077]
[ 0.39353631]
[ 0.59765434  0.23262777  0.6655291   0.21700165  0.51083627  0.5186391
  0.49285167  0.50707351  0.34746491  0.3061916 ]
[ 0.75752801]
[ 0.728154    0.54238312  0.55299342  0.34536436  0.35479081  0.27348077
  0.43275558  0.54221543  0.49859628  0.40275975]
[-0.59934462]
[ 0.54198213  0.71729661  0.40882376  0.72757665  0.5027848   0.41640356
  0.43352322  0.51785171  0.49129779  0.72910436]
[ 0.61604226]
[ 0.78052614  0.41228174  0.6089344   0.25508776  0.37932842  0.33521026
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[-0.43208532]
[ 0.58423757  0.49321647  0.54862949  0.40196036  0.4552628   0.58174331
  0.47451536  0.67986306  0.63979074  0.40574837]
Progress: 44.3% ... Training loss: 0.341 ... Validation loss: 0.536[-0.71020829]
[ 0.52447988  0.47557813  0.58499461  0.39576478  0.37904812  0.45109446
  0.47899312  0.77129117  0.53491633  0.334338  ]
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  0.39553526  0.55257985  0.43195204  0.3860185 ]
[ 0.53713332]
[ 0.55842346  0.59842226  0.50187027  0.52786559  0.5060221   0.35076294
  0.52627623  0.60927887  0.59345526  0.43440861]
[-0.71197193]
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[ 0.06652706]
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  0.33684769  0.43471753  0.49656267  0.48838399]
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  0.38060037  0.48536708  0.64426048  0.5621321 ]
[ 1.50507495]
[ 0.6872002   0.48161994  0.58772514  0.27314041  0.39766649  0.37103833
  0.56408575  0.62413372  0.57889883  0.3207866 ]
[ 0.23719878]
[ 0.45288128  0.49461475  0.4385149   0.59266512  0.38415601  0.29716688
  0.42713517  0.48847788  0.49276378  0.43338327]
[-0.34616053]
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[-0.69874022]
[ 0.76618101  0.42441518  0.59953731  0.29648128  0.33438516  0.34959216
  0.54838039  0.49073658  0.53448048  0.3607063 ]
[ 0.41508585]
[ 0.25252956  0.75147086  0.36390604  0.60090382  0.38708532  0.76577854
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[ 0.95241909]
[ 0.33582972  0.68139798  0.52228332  0.55221108  0.40430018  0.54168215
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[ 0.67566447]
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  0.5879126   0.62986819  0.60820383  0.59219002]
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[ 0.2550015]
[ 0.52357124  0.39415122  0.63724429  0.33890288  0.4234      0.46952777
  0.47678056  0.54826444  0.4677196   0.34853485]
[ 0.02815977]
[ 0.26056568  0.53065098  0.47803889  0.56289233  0.43701762  0.57404362
  0.39487748  0.38098775  0.50081892  0.45894153]
[-1.12001263]
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[-0.38502546]
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[ 0.13944128]
[ 0.55702737  0.55824761  0.51158632  0.3800446   0.48430686  0.51522839
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[ 0.18095225]
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  0.51613803  0.60849035  0.60613385  0.38739453]
[ 0.08762319]
[ 0.6084022   0.59698754  0.5153698   0.45615315  0.33833313  0.43385564
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[ 0.454698]
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[ 0.1340096]
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[ 0.22545112]
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[ 0.73375609]
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[ 1.0606874]
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[ 0.23621955]
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[ 0.29151693]
[ 0.29133077  0.42353016  0.57939181  0.41426044  0.56173462  0.7040408
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[ 0.48723746]
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[ 1.29497987]
[ 0.71522627  0.79161232  0.53480901  0.32564553  0.41019091  0.40225216
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[ 0.16113324]
[ 0.38381555  0.52481137  0.59652672  0.58147489  0.55608783  0.47574497
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[ 1.48348485]
[ 0.65807892  0.54193759  0.48390211  0.50836627  0.3339721   0.27522637
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[ 0.2320197]
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[ 0.04865122]
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[ 0.34250506]
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[ 0.18476011]
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[ 0.30610155]
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[ 1.06306192]
[ 0.50047896  0.53309145  0.40790935  0.5499021   0.32189363  0.25135051
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[ 0.53938854  0.64273587  0.43194035  0.59722915  0.52260725  0.70853377
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[ 0.51868423]
[ 0.4086097   0.80353608  0.48280848  0.64664494  0.4365992   0.72605582
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[ 0.5046252   0.56186054  0.39417179  0.59930279  0.47519596  0.68707945
  0.44657925  0.52949013  0.41697335  0.6142306 ]
Progress: 44.6% ... Training loss: 0.332 ... Validation loss: 0.533[ 0.2771663]
[ 0.26062794  0.57171806  0.51245071  0.53983762  0.57488154  0.63683341
  0.36184071  0.36183571  0.39505742  0.67707061]
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[ 0.21946892]
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[ 0.53676314]
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[ 0.16824767]
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[ 0.10714135]
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[ 0.38339979]
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[ 0.09170268]
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[ 0.73348726]
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[ 1.85064259]
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Progress: 44.9% ... Training loss: 0.377 ... Validation loss: 0.559[-0.009726]
[ 0.41674359  0.4461133   0.55247914  0.56338524  0.34097727  0.49083884
  0.50623505  0.5013084   0.52734994  0.35912502]
[ 0.69708353]
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  0.36597     0.33819362  0.46274103  0.71828675]
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[ 0.05153675]
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[ 0.12001927]
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[ 0.28062611]
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[ 0.81685045]
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[ 0.05626039]
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[ 0.19810187]
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[ 0.24862001]
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[ 0.44465527]
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[ 0.63643974]
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[ 0.35101748  0.70861619  0.4542113   0.47693579  0.46465325  0.50162743
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[ 0.21570659]
[ 0.25986859  0.46689179  0.52688162  0.533929    0.53812789  0.70301431
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[ 0.63256127  0.72584166  0.53425745  0.58038975  0.51290899  0.48760232
  0.39952124  0.58062979  0.61106292  0.63448967]
Progress: 45.1% ... Training loss: 0.388 ... Validation loss: 0.594[ 0.7982913]
[ 0.53467159  0.77002804  0.48030442  0.62153483  0.35012261  0.5048352
  0.44493285  0.69194081  0.61747659  0.47214991]
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[ 0.5584595]
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[ 0.15310001]
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[ 0.46049669]
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[ 0.5926998]
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[ 0.19491081]
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[ 0.32758667]
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[ 0.47999355]
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[ 0.35040771]
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[ 0.23698238]
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[ 0.05921132]
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[ 1.49798883]
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[ 0.29379744]
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[ 0.06646833]
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[ 1.71677265]
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[ 2.39433891]
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[ 0.12611183]
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[ 0.48478935]
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[ 0.40148207]
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[ 0.93337969]
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[ 0.83754419]
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[ 0.33746863]
[ 0.26568167  0.5857891   0.44414258  0.55068453  0.53202812  0.71515342
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[ 0.68539608]
[ 0.44180994  0.21607055  0.67473189  0.32434874  0.58161395  0.60954779
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[ 0.65888744  0.56581457  0.41813364  0.43098379  0.25923151  0.51845174
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[ 0.04228396]
[ 0.33203708  0.55455823  0.49894771  0.48154372  0.43174527  0.45462282
  0.5240175   0.4364029   0.56492659  0.41741684]
Progress: 45.4% ... Training loss: 0.345 ... Validation loss: 0.542[ 0.40967465]
[ 0.60759573  0.70834122  0.56472247  0.45663219  0.35601752  0.5191862
  0.55724459  0.57717673  0.64116175  0.49476875]
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[ 0.19445146]
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[ 0.30720775]
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[ 1.30465622]
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[ 0.05598178]
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[ 0.51093016]
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[ 0.96879229]
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[ 0.62221105]
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[ 0.06408196]
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[ 0.24581981]
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[ 0.17780043]
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[ 0.29393178]
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[ 0.63255318]
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[ 0.26828927]
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[ 0.48285843]
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[ 0.01938783]
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[ 0.61485992]
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[ 0.28656575]
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[ 0.65146725]
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[ 0.38912922]
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[ 0.14122594]
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[ 0.45061421]
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[ 1.72037279]
[ 0.68672472  0.61102477  0.50100577  0.45341425  0.31310048  0.45671016
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[ 0.0708388]
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[ 0.39114764  0.37320625  0.47223243  0.5186034   0.49105178  0.77588225
  0.3684353   0.66528909  0.46090723  0.4331313 ]
[ 0.03782468]
[ 0.51384287  0.70430097  0.43705139  0.53005167  0.2483808   0.38935478
  0.5267218   0.62412282  0.57184188  0.45849871]
[ 0.85640777]
[ 0.61885293  0.57476619  0.52658439  0.35821772  0.40683641  0.36312236
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[ 0.05286917]
[ 0.28431814  0.50050042  0.46851959  0.4310175   0.5367634   0.65170515
  0.28659888  0.40651809  0.32458717  0.5398688 ]
Progress: 45.7% ... Training loss: 0.329 ... Validation loss: 0.528[-0.54417218]
[ 0.39088382  0.76606733  0.37990583  0.61150278  0.32019236  0.44354897
  0.37291256  0.39630056  0.47919019  0.54945732]
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[ 0.13350174]
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[ 0.3319053]
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[ 0.02636295]
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[ 0.56254617]
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[ 0.47031584]
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  0.44132953  0.50735926  0.62111166  0.39189308]
[ 0.47785076]
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[ 0.24458535]
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[ 0.26049235]
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[ 0.01039465]
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[ 0.20342216]
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[ 0.0087444]
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[ 1.32690307]
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[ 0.24014218]
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[ 0.44181884]
[ 0.15319753  0.59998856  0.44446483  0.69306747  0.51098907  0.74687692
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[ 0.17122232]
[ 0.27523305  0.5622071   0.56147601  0.51680055  0.53155458  0.75638067
  0.44171078  0.46113606  0.5270801   0.66087441]
[ 0.9687043]
[ 0.41644993  0.69074235  0.43847812  0.61645049  0.28489996  0.44791449
  0.30211894  0.56553549  0.6636665   0.47541013]
[ 0.26575341]
[ 0.50081432  0.59797794  0.51366179  0.50445637  0.36128989  0.47376171
  0.3806396   0.57888322  0.61669568  0.53318589]
Progress: 46.0% ... Training loss: 0.335 ... Validation loss: 0.536[ 1.374905]
[ 0.52616154  0.39353391  0.52082882  0.51743345  0.24419228  0.30145899
  0.49214482  0.61728207  0.51675557  0.22021018]
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[ 0.34119919]
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[ 2.30360075]
[ 0.68804409  0.57066594  0.60091252  0.55343789  0.3883121   0.33630822
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[ 0.36695457]
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[ 0.30298175]
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[ 0.44665111]
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[ 0.42713946]
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[ 0.42469916]
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[ 0.37459278]
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[ 0.69093947  0.60691995  0.48369703  0.5384477   0.41939711  0.45516878
  0.44017641  0.65989597  0.58086512  0.43263737]
Progress: 46.3% ... Training loss: 0.338 ... Validation loss: 0.524[ 0.5037221]
[ 0.30573533  0.5557219   0.49379786  0.58214003  0.42506482  0.47562375
  0.43205575  0.43592978  0.50434428  0.35768598]
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[ 0.47676076]
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[ 0.4957631]
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[ 0.61746096]
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[ 0.0429447]
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[ 0.11109175]
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[ 0.13493571]
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[ 0.29455517]
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[ 1.85989935]
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[ 0.18560252]
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[ 0.61850188]
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[ 1.45157529]
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[ 1.71441016]
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[ 0.83772649]
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[ 0.12867649]
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[ 1.51285428]
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[ 0.63137431]
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[ 0.04494067]
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[ 0.48695087]
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[ 0.07929696]
[ 0.24015779  0.65534931  0.44009663  0.60126583  0.48793497  0.78395681
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[ 0.50566055]
[ 0.8457428   0.58905715  0.63800279  0.28769576  0.4227694   0.32972082
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[ 0.19497922]
[ 0.4728006   0.62003495  0.59292859  0.36458576  0.49152094  0.55514329
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[ 0.73013623  0.45456775  0.57246877  0.37997472  0.3421404   0.24119329
  0.47777334  0.58956318  0.40400178  0.45925148]
Progress: 46.6% ... Training loss: 0.336 ... Validation loss: 0.536[ 0.14164322]
[ 0.70375958  0.65528942  0.53163486  0.31000728  0.34710884  0.38911959
  0.6008134   0.70086297  0.59916153  0.43837317]
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[ 0.47447259]
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[ 0.09107664]
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[ 0.16651426]
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[ 0.35087768]
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[ 1.42305238]
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[ 0.11033831]
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[ 1.11406251]
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[ 0.16373534]
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[ 0.31424769]
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[ 0.02545993]
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[ 0.44813783]
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[ 1.42525224]
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[ 1.0255331]
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[ 0.81280519]
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[ 0.11672086]
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[ 0.54629894]
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[ 1.98505675]
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[ 0.39032901]
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[ 0.53461205]
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[ 0.5151107   0.16144931  0.762558    0.30522223  0.51811793  0.55909606
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[ 0.37009171  0.58465727  0.4788022   0.57453903  0.40003531  0.574039
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[ 0.40700004  0.60681094  0.37828139  0.54996074  0.35216761  0.5794457
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[ 0.571948    0.49690027  0.49006329  0.43839866  0.38815849  0.4074398
  0.63605182  0.68999045  0.45938814  0.28294828]
Progress: 46.9% ... Training loss: 0.329 ... Validation loss: 0.528[ 0.02832704]
[ 0.36716756  0.58901423  0.47433445  0.60258736  0.391969    0.56497353
  0.51033162  0.52974314  0.48277502  0.32185848]
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[ 0.59578298]
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[ 0.17705201]
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[ 0.73945265]
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[ 0.00054623]
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[ 1.00874453]
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[ 0.40567372]
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[ 0.11685329]
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[ 0.00988449]
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[ 0.1932849]
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[ 0.28675572]
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[ 0.64091735]
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[ 0.14575802]
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[ 1.7440691]
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[ 0.59010198]
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[ 0.55238481]
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[ 0.02275117]
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[ 0.07877317]
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[ 0.13243687]
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[ 0.2013551]
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[ 0.07271745]
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[ 0.05872319]
[ 0.6168488   0.55179665  0.51180347  0.40001958  0.3973952   0.2750283
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[ 0.59104122  0.67199675  0.49017307  0.54961     0.26406074  0.45537165
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[ 0.20061468]
[ 0.60321916  0.60923197  0.52014729  0.58928662  0.43653645  0.51729947
  0.60969819  0.50703546  0.61114042  0.46048593]
Progress: 47.1% ... Training loss: 0.326 ... Validation loss: 0.518[ 0.2576256]
[ 0.7302767   0.57374107  0.53152098  0.45278764  0.30739471  0.49554417
  0.51013772  0.51496833  0.54303679  0.52111158]
[ 0.47422207]
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[ 0.11365964]
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[ 0.12700811]
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[ 0.11183133]
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[ 0.40315897]
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[ 0.29064703]
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[ 0.6941]
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[ 0.34831267]
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[ 0.00182142]
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[ 0.57851687]
[ 0.35742628  0.63285476  0.49141832  0.53569292  0.40226831  0.48783949
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[ 1.30394203]
[ 0.59260796  0.75942456  0.45837313  0.57061919  0.34408064  0.37458698
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  0.41072469  0.44738025  0.40007044  0.46046411]
Progress: 47.4% ... Training loss: 0.326 ... Validation loss: 0.515[ 1.53510407]
[ 0.72162213  0.60180279  0.5157704   0.39280217  0.2480784   0.25278692
  0.50414682  0.74386072  0.57787219  0.29519005]
[ 0.25108673]
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[ 1.61436103]
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[ 0.19077361]
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[ 0.69092497]
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[ 1.08505261]
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[ 1.55241262]
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[ 1.93620153]
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[ 0.06470811]
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[ 0.59918515  0.60475155  0.44071136  0.49800688  0.30287973  0.42895591
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[ 0.6223501]
[ 0.45906052  0.53667744  0.53134441  0.50866967  0.40770524  0.58920485
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[ 0.75828957  0.46446034  0.54212498  0.43110659  0.28577551  0.48382581
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  0.43728187  0.62695952  0.47109093  0.35372853]
Progress: 47.7% ... Training loss: 0.325 ... Validation loss: 0.513[ 0.19319808]
[ 0.69768875  0.45752511  0.50838279  0.39837383  0.46707608  0.34307195
  0.57965272  0.49528309  0.54743428  0.27732832]
[ 0.17097989]
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[ 0.16133629]
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[ 1.32150599]
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[ 1.23381333]
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[ 0.47890743]
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[ 0.37918348]
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[ 0.20567743]
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[ 1.82803444]
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[ 0.72270455]
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[ 0.02396474]
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[ 0.02109562]
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[ 0.52905183]
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[ 0.18518052]
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[ 0.42921409]
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[ 1.71475901]
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[ 0.35433115]
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[ 0.16409769]
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[ 0.89864154]
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[ 0.94391135]
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[ 0.19489847]
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[ 0.06673811]
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[ 0.42012292]
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[ 0.13749936]
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[ 0.03926022]
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[ 0.58231126]
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[ 0.37159081  0.73652639  0.28462224  0.61986319  0.34334519  0.464553
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[ 0.60600985  0.48643348  0.60152801  0.40356075  0.51124227  0.57887375
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[ 0.25673033]
[ 0.23473621  0.48191403  0.45216258  0.40930172  0.49824395  0.67581456
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[ 0.39979256  0.38757844  0.54723717  0.49088812  0.39611019  0.54978376
  0.50268571  0.64734759  0.47420392  0.25402308]
Progress: 48.0% ... Training loss: 0.330 ... Validation loss: 0.507[-0.10046696]
[ 0.36567939  0.50206817  0.59138893  0.42943934  0.51590852  0.54089514
  0.37091679  0.40675781  0.47682507  0.46755755]
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[ 0.22817221]
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[ 0.3002807]
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[ 0.05578632]
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[ 0.90684517]
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[ 0.16685384]
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[ 0.11648566]
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[ 0.07548398]
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[ 0.00201057]
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[ 1.19106682]
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[ 0.39380842]
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[ 0.00303858]
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[ 2.11982798]
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[ 0.84872309]
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[ 0.95210046]
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[ 0.19726542]
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[ 0.11678831]
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[ 0.09329518]
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[ 0.72918892]
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[ 0.70852068]
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[ 1.45048715]
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[ 0.3716159]
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[ 0.88392823]
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[ 0.11695261]
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[ 0.86496464]
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[ 0.78270771]
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[ 1.00594466]
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[ 0.37797853]
[ 0.74933574  0.64446944  0.55194951  0.23071824  0.37136929  0.40673931
  0.62977511  0.69538388  0.57292448  0.45958851]
[ 0.69470406]
[ 0.62574958  0.62535304  0.5005463   0.51590739  0.30657392  0.33044155
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[ 0.27087292]
[ 0.20763924  0.44379084  0.48391196  0.64071742  0.47284599  0.69920042
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[-0.36243244]
[ 0.58818841  0.49183664  0.61603734  0.34521535  0.44062209  0.46629663
  0.51582273  0.51539698  0.49105445  0.43587691]
Progress: 48.3% ... Training loss: 0.325 ... Validation loss: 0.507[-0.56861949]
[ 0.78253249  0.50855166  0.5747326   0.29110989  0.37101282  0.51311941
  0.55473004  0.63819135  0.43156523  0.41051688]
[ 0.0720314]
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[ 1.79318401]
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[ 0.10679794]
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[ 0.13265968]
[ 0.49835394  0.4286917   0.57436159  0.45931288  0.48228041  0.38300632
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[ 0.28317704]
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[ 0.13694962]
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[ 0.30659612]
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  0.53390975  0.616263    0.55796958  0.47597215]
[ 0.13903142]
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[ 0.54634324]
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[ 1.41981556]
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[ 1.18045554]
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[ 1.1430902]
[ 0.533368    0.65235875  0.47862068  0.52770213  0.31293568  0.35692048
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[ 0.19480062]
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[ 0.91079199]
[ 0.84124012  0.70236165  0.62636571  0.20439277  0.40878399  0.35723778
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[ 0.52583127  0.73601737  0.3781824   0.6712434   0.25440574  0.49283048
  0.36381832  0.46824787  0.58707387  0.61026942]
[ 0.09349373]
[ 0.22260327  0.57779506  0.5449021   0.62406269  0.35111352  0.73256783
  0.35227257  0.42080865  0.46516858  0.54050989]
[-0.57667136]
[ 0.6216353   0.57677423  0.50524628  0.5187954   0.42276675  0.38903067
  0.45948585  0.56923812  0.50720119  0.43329027]
[ 0.10852402]
[ 0.35714836  0.55741914  0.51617346  0.61522119  0.48202198  0.57004313
  0.52838805  0.55385428  0.53978384  0.49994313]
[ 0.27408543]
[ 0.20217512  0.37932905  0.55423184  0.54093589  0.40638544  0.5133512
  0.35024311  0.34666841  0.48368785  0.30836371]
Progress: 48.6% ... Training loss: 0.325 ... Validation loss: 0.504[ 0.10152299]
[ 0.7343479   0.66104673  0.52545435  0.4365938   0.40756877  0.42601899
  0.45288737  0.66712202  0.64446673  0.39068038]
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[ 0.00326077]
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[ 0.41182499  0.41024934  0.56494739  0.40620035  0.46658159  0.50091752
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  0.46956432  0.56953612  0.62626562  0.44751518]
Progress: 48.9% ... Training loss: 0.327 ... Validation loss: 0.517[ 0.00705006]
[ 0.29152718  0.60052365  0.48816786  0.46135175  0.51825299  0.6432532
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[ 0.13487157]
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[ 0.04409387]
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[ 0.48944439]
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[ 0.86935508]
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[ 0.1575234]
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[ 0.36549021]
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[ 0.58921109]
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[ 0.24844313]
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[ 0.18787304]
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[ 0.29248713]
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[ 0.02354927]
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[ 0.52570469]
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[ 0.08326253]
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[ 0.54670853]
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[ 0.50886552]
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[ 0.24614655]
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[ 0.33906336]
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[ 1.12244909]
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[ 0.41636586]
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[ 0.35694739]
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[ 0.6469771]
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[ 0.84247015  0.72280893  0.57068088  0.31996884  0.38163416  0.55557722
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[ 0.75846584  0.74749652  0.45329337  0.29953736  0.37642805  0.2681475
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[ 0.27076926  0.34372058  0.64027742  0.37398778  0.48043563  0.53040038
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[ 0.05902771]
[ 0.24267463  0.77032996  0.33668003  0.6180289   0.40559402  0.77251418
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[ 0.80364872  0.43066438  0.67442193  0.42066929  0.44796798  0.49505642
  0.45001514  0.70342734  0.56593917  0.40533845]
Progress: 49.1% ... Training loss: 0.327 ... Validation loss: 0.526[-0.5898299]
[ 0.56907644  0.77299412  0.42578584  0.61835831  0.45667032  0.63457422
  0.43942629  0.54456761  0.59822726  0.59641785]
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[ 0.27565764]
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[ 0.74044335]
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[ 0.25175719]
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[ 0.23290073]
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[ 0.38231404  0.43297697  0.68821373  0.40332348  0.49513352  0.44927955
  0.4101432   0.3770433   0.48373254  0.4052024 ]
[ 0.73865898]
[ 0.42581096  0.47352751  0.57835129  0.48737147  0.38369308  0.58142234
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[ 0.45542896]
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[ 0.79007715]
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  0.4649769   0.53542633  0.65693189  0.5737779 ]
[ 0.70616403]
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[ 0.31365879]
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[ 0.19026707]
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[ 0.17992022]
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[ 0.45633923]
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[ 0.48983042]
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[ 0.11681011]
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[ 0.25580048]
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[ 0.39390527]
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[ 0.83080339]
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[ 0.11948869]
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[ 0.52406729]
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[ 0.73818287]
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[ 0.46865012]
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[ 1.22966812]
[ 0.59142438  0.56339581  0.42073522  0.57228335  0.323605    0.50613716
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[ 0.2613272]
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[ 1.692481]
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[ 0.30854172]
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[ 0.63476742]
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[ 0.09537358]
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[ 0.20557391]
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[ 0.0430174]
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[ 0.62835738]
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[ 0.45435461]
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[ 2.40559313]
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[ 1.20872729]
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[ 0.42891648]
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[ 0.39198842]
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[ 0.10305824]
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[ 0.6360949   0.7117618   0.49795672  0.32931988  0.34581559  0.46704022
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[ 0.67419     0.66926634  0.54316825  0.48286614  0.3589567   0.54982074
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[ 0.29407123  0.6935064   0.33008407  0.72732834  0.3838302   0.54028671
  0.40534048  0.35117521  0.47400864  0.55570998]
Progress: 49.4% ... Training loss: 0.324 ... Validation loss: 0.524[-0.38614226]
[ 0.3687244   0.4478471   0.63231375  0.37942182  0.49661044  0.49640435
  0.45678083  0.45468867  0.45024462  0.48268313]
[ 0.59979974]
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[ 0.25990336]
[ 0.69168625  0.48851663  0.64781061  0.27045196  0.3443923   0.38824685
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[ 0.71039813]
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[ 0.18002879]
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[ 0.1017537]
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[ 0.33622369]
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[ 0.19023869]
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[ 0.47959332]
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[ 0.14771246]
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[ 0.59678342]
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[ 0.29389852]
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[ 1.21935258]
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[ 0.28349854]
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[ 0.04585978]
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[ 0.24205042]
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[ 0.14594572]
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[ 0.04697665]
[ 0.3109342   0.71705323  0.34778934  0.62071341  0.44171125  0.77353839
  0.3046468   0.64827954  0.54589144  0.66900546]
[ 0.2192042]
[ 0.7016162   0.52947127  0.48578356  0.37678684  0.32996391  0.33064897
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[ 0.47281919  0.78452241  0.45463932  0.50897915  0.47292942  0.58173602
  0.52371661  0.45399557  0.55063313  0.61861799]
Progress: 49.7% ... Training loss: 0.326 ... Validation loss: 0.523[ 0.2694732]
[ 0.77198803  0.53687235  0.59238665  0.30139468  0.37116025  0.40570569
  0.5481742   0.51426424  0.64708949  0.42395244]
[ 1.53769253]
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[ 0.16880038]
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[ 0.30651083]
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[ 0.8680282]
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[ 0.16209437]
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[ 0.00971883]
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  0.49378917  0.46039119  0.36584486  0.50756114]
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[ 0.03134701]
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[ 1.14078435]
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[ 0.17283609]
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[ 0.45062582]
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[ 0.41358843]
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[ 0.33162925]
[ 0.30434484  0.66937045  0.54844704  0.42948517  0.48455933  0.77653937
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[ 1.85415853]
[ 0.65610126  0.49137873  0.57236835  0.3126481   0.32868681  0.28111169
  0.47038623  0.47842732  0.5008371   0.31676955]
Progress: 50.0% ... Training loss: 0.329 ... Validation loss: 0.511[-1.532595]
[ 0.5424276   0.51958812  0.54774188  0.50311118  0.35849527  0.44857965
  0.60769878  0.76249176  0.51293693  0.27465436]
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[ 0.75643106]
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[ 0.21466651]
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[ 0.77866649]
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[ 0.53155099]
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[ 0.6421983]
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[ 0.45869188]
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[ 1.37569171]
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[ 1.88566035]
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[ 0.08530185]
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[ 2.35603337]
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[ 0.0117082]
[ 0.68357812  0.60587715  0.56487778  0.36419341  0.4424443   0.366884
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[ 0.16111346]
[ 0.32135145  0.64094382  0.47432244  0.63316532  0.49155658  0.77689421
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[ 0.34329112]
[ 0.71509908  0.47491459  0.59441598  0.20256282  0.38245162  0.48888358
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[ 0.06848443]
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[ 0.55960396]
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[ 0.10137153]
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  0.43714515  0.51432278  0.33182823  0.4953924 ]
[ 0.05082338]
[ 0.2473181   0.56683223  0.37401763  0.45597274  0.41178232  0.63538744
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[ 0.34254777]
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[ 0.65771341  0.56418754  0.54479699  0.41671721  0.46428183  0.36462824
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[ 1.29296986]
[ 0.3909636   0.60510751  0.46742932  0.55642158  0.43598144  0.47617649
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[ 0.11850739]
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[ 0.10585631]
[ 0.25740972  0.37771884  0.65415551  0.40963803  0.50161392  0.77043388
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[ 0.62119583  0.4269205   0.54754369  0.40308433  0.44977689  0.35044389
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[ 0.62651067  0.72822777  0.46836888  0.66141059  0.377752    0.35115232
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[ 0.28546038]
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[ 0.44394014  0.40307063  0.63945641  0.32242262  0.51125965  0.63081163
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[ 0.43063806  0.73170507  0.32627385  0.65161443  0.29900153  0.44947966
  0.4186647   0.39000712  0.70742966  0.43743928]
[ 0.4452901]
[ 0.6293699   0.60180264  0.51965755  0.38771391  0.37061501  0.3213409
  0.49668357  0.57157712  0.56309455  0.51978363]
[ 0.02722171]
[ 0.27404713  0.5319343   0.46628828  0.45267999  0.45954621  0.48474647
  0.33976279  0.55752192  0.3739904   0.53323969]
[-0.55729686]
[ 0.39776913  0.37397933  0.50491201  0.53362009  0.49476971  0.61913289
  0.48396431  0.65029144  0.48098788  0.31327325]
[ 0.53295232]
[ 0.19388554  0.5869695   0.38783552  0.6789495   0.56433955  0.74751341
  0.29332553  0.40861788  0.48567831  0.65198714]
[-0.02067576]
[ 0.2766595   0.64712615  0.46077611  0.62303599  0.51546945  0.56718575
  0.38352277  0.30001772  0.44048072  0.54503024]
[-0.21024442]
[ 0.41585043  0.50358665  0.60713352  0.43089852  0.45982246  0.50469809
  0.50452759  0.44710833  0.53166731  0.42631167]
Progress: 50.3% ... Training loss: 0.332 ... Validation loss: 0.524[-0.26259795]
[ 0.25170282  0.44296944  0.55690289  0.60525529  0.42944447  0.57059834
  0.46291456  0.54591134  0.37591061  0.43505343]
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[ 1.86370677]
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  0.5817152   0.717379    0.68482843  0.30513263]
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  0.41523504  0.45367714  0.33164835  0.60077496]
[ 0.63526373]
[ 0.3058517   0.60390006  0.40877597  0.65041957  0.41127228  0.68023076
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[ 0.22294734]
[ 0.3139944   0.2649457   0.65089628  0.40430591  0.53780905  0.71945263
  0.40418047  0.3327945   0.28874958  0.45284694]
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  0.38203383  0.45231331  0.48225306  0.59432069]
[ 0.71001316]
[ 0.74542059  0.56870285  0.55665683  0.27636381  0.35110027  0.29802446
  0.54035258  0.61997316  0.60199679  0.3643444 ]
[ 0.96541532]
[ 0.45672704  0.70416987  0.45650408  0.65766964  0.43239963  0.5244436
  0.43761646  0.65218652  0.53751827  0.40088467]
[ 0.7643847]
[ 0.77069803  0.60290212  0.58751695  0.4387587   0.37868532  0.50752211
  0.59265925  0.64130223  0.57855723  0.46289045]
[-0.20534096]
[ 0.65337852  0.38830503  0.70804518  0.34060052  0.61561574  0.46606245
  0.45607901  0.51621185  0.45801419  0.39404927]
[ 2.1349009]
[ 0.62128612  0.57509557  0.51412991  0.41401559  0.32820596  0.2677726
  0.55076236  0.5990718   0.58374201  0.2632015 ]
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  0.50196076  0.58790693  0.51150823  0.42490863]
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[ 0.43723659  0.46383239  0.54622691  0.52904108  0.47791542  0.67429705
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[ 1.2159711]
[ 0.61174798  0.52460157  0.51895361  0.29996324  0.32826626  0.40037745
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  0.48148547  0.64831851  0.54603638  0.46346313]
[-1.24714846]
[ 0.482902    0.37169441  0.63550108  0.45976982  0.32569471  0.42489179
  0.51655539  0.64872068  0.42992823  0.22345597]
[ 1.37699499]
[ 0.74883745  0.58232861  0.50434611  0.51482996  0.32508213  0.37150114
  0.5110274   0.50969639  0.68384634  0.54557621]
[ 0.02405583]
[ 0.22427691  0.51173587  0.59314505  0.62360583  0.4320559   0.69930167
  0.41110067  0.41642503  0.50265028  0.48943463]
[ 0.38250454]
[ 0.56774503  0.7921954   0.45017861  0.54310492  0.29358301  0.53494093
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[ 0.40535456  0.71177879  0.44984967  0.55870427  0.46067209  0.65529374
  0.48417765  0.42797616  0.5958801   0.57763571]
[ 1.53673023]
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[ 0.37775084  0.46263368  0.55203382  0.5055858   0.42282413  0.45859908
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[ 0.41928408  0.40749503  0.67486494  0.40736946  0.3506691   0.46730928
  0.46339718  0.48305808  0.4992866   0.31598285]
[ 0.70666788]
[ 0.64506451  0.80863852  0.45980485  0.50388172  0.36823507  0.40834138
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[ 0.08767439]
[ 0.30307777  0.58212662  0.56494549  0.45465204  0.42768689  0.61827628
  0.42088066  0.59281544  0.49416282  0.56118784]
[ 0.06072723]
[ 0.41283163  0.44863168  0.57139722  0.49021164  0.56772691  0.64967352
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[-0.29274692]
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[ 0.48303649  0.32636635  0.60719402  0.30985565  0.4898191   0.50587834
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[ 0.72378055]
[ 0.21807165  0.65841983  0.32148723  0.72123304  0.54645651  0.78303366
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[-0.50783383]
[ 0.5042553   0.70375946  0.426736    0.65976893  0.30490508  0.51414805
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[-0.26384712]
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[-0.50705345]
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[ 0.27725639  0.43548011  0.57564464  0.48581807  0.48268203  0.50357159
  0.49993921  0.44927485  0.4099313   0.63557542]
[ 0.94809632]
[ 0.58616407  0.61859757  0.52645578  0.38984749  0.35655973  0.43435134
  0.5225334   0.56888127  0.55054664  0.38077017]
[ 0.31138]
[ 0.40466609  0.6569357   0.4786209   0.58960288  0.40378961  0.57501172
  0.55265228  0.57033556  0.51737274  0.58560527]
[ 0.13359141]
[ 0.24905356  0.54732286  0.46669864  0.69954365  0.35821862  0.75921678
  0.37155143  0.46392437  0.40536861  0.48715612]
[ 1.42174927]
[ 0.73416155  0.68900007  0.44463868  0.51279589  0.26274042  0.2812441
  0.5472739   0.56666605  0.70585237  0.28901175]
[-0.97890608]
[ 0.52013023  0.67176968  0.44924159  0.52031614  0.35402956  0.3694393
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[-0.03157218]
[ 0.40291285  0.40606842  0.55256884  0.42116871  0.52340825  0.66588834
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[ 0.5793396   0.50962273  0.49702022  0.30877634  0.46518515  0.57398845
  0.5335745   0.5276564   0.40333295  0.46392323]
[ 2.12725695]
[ 0.80971911  0.59771651  0.54635793  0.19428187  0.30009985  0.22908225
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[ 0.13984743]
[ 0.49400377  0.59641342  0.50481527  0.49213547  0.31382773  0.42435768
  0.42253343  0.52252034  0.5658953   0.44309389]
[ 0.97408596]
[ 0.67314768  0.61049853  0.50830381  0.48100427  0.2608496   0.41043195
  0.46497329  0.53913418  0.51105163  0.41601233]
[ 1.0346518]
[ 0.61881568  0.7037814   0.54329803  0.47382692  0.39679154  0.47572942
  0.57296725  0.60421477  0.61977398  0.59304983]
[ 0.76102406]
[ 0.59682908  0.56384094  0.50884743  0.42484873  0.35403632  0.47904519
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[ 0.46535838]
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[ 0.15566847]
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[ 0.6281984]
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[ 0.85649467]
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[ 0.19765083]
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[ 0.80290843]
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[ 0.57691192]
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[ 0.02270182]
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[ 0.43949018]
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[ 0.7415754   0.69944662  0.47802406  0.49681506  0.27912796  0.35195425
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[ 0.29563527]
[ 0.19533826  0.4934475   0.49880247  0.57668763  0.51799091  0.62290009
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[ 0.24657805  0.25622886  0.71908414  0.401422    0.50280112  0.62345041
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[ 0.43252362  0.61795561  0.41838741  0.56101206  0.36171123  0.66763559
  0.37699195  0.57828312  0.60224033  0.52298165]
Progress: 50.6% ... Training loss: 0.335 ... Validation loss: 0.507[-0.12689246]
[ 0.23849533  0.67337934  0.38630188  0.46967695  0.41372252  0.62757202
  0.35223112  0.45651778  0.49864523  0.60014121]
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[ 0.12124298]
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[ 0.7050589]
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[ 0.10150466]
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[ 0.01798974]
[ 0.2663936   0.65301507  0.38989758  0.66390891  0.35758059  0.61477321
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[ 0.39016529]
[ 0.23225355  0.34953913  0.56854064  0.52772229  0.53657114  0.65624493
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[ 0.08431213]
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[ 0.18148183]
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[ 0.78063466]
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[ 0.59414933]
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[ 0.2037873]
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[ 0.5011526]
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[ 0.086636]
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[ 0.91806354]
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[ 0.28720447]
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[ 0.33204352]
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[ 0.32930593]
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[ 0.25543046]
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[ 0.36581786]
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[ 0.51432551]
[ 0.18747402  0.55887045  0.46027012  0.66205313  0.53354879  0.65851329
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[ 0.4689811   0.6313663   0.42502502  0.49917666  0.38727208  0.60177237
  0.36536819  0.56297365  0.51581515  0.60592821]
[ 0.13803862]
[ 0.52974533  0.61634011  0.42621131  0.47398076  0.32908893  0.4617921
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[-0.2645894]
[ 0.31970015  0.66068108  0.47367014  0.53042542  0.38494132  0.69532302
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[-1.22841289]
[ 0.70799611  0.5343696   0.57199445  0.44681235  0.28684781  0.48269338
  0.49364498  0.56552004  0.64050827  0.49891869]
Progress: 50.9% ... Training loss: 0.347 ... Validation loss: 0.540[ 0.34238003]
[ 0.57166784  0.53952519  0.5688496   0.53597276  0.42947348  0.55393418
  0.50083591  0.57587765  0.61198395  0.41099356]
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[ 0.53201698  0.53740551  0.52321288  0.38652763  0.57780037  0.57599437
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[ 0.61252091  0.60787254  0.52751235  0.32248491  0.46183081  0.45071145
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[ 0.644479    0.23177503  0.72907039  0.13670096  0.65710312  0.49440421
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[ 0.38207824]
[ 0.48107613  0.68390284  0.37050165  0.48379711  0.28997958  0.4152485
  0.47797571  0.51381812  0.6224579   0.45120306]
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[ 0.55881425]
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[ 0.69707573]
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[ 0.12457117]
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[ 0.45601092]
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  0.45775942  0.50593586  0.47336319  0.50645806]
[ 1.61039821]
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  0.51354246  0.46025489  0.55820694  0.37670663]
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[ 0.39171252]
[ 0.52503729  0.54431153  0.53143756  0.36141123  0.40381201  0.61740986
  0.4624761   0.72010102  0.59556482  0.43485287]
[ 0.09274887]
[ 0.41364691  0.6654169   0.48478523  0.69871492  0.52965659  0.61701523
  0.38344042  0.43570131  0.4363562   0.63887627]
[ 0.60083611]
[ 0.20183746  0.6197879   0.53018725  0.56372462  0.52026396  0.76487438
  0.41954101  0.35663193  0.4842819   0.66208263]
[ 0.24007411]
[ 0.38757997  0.34139279  0.7051236   0.38556291  0.452606    0.65214824
  0.39999393  0.36953193  0.43603805  0.46198801]
[ 0.76076237]
[ 0.6628624   0.31596457  0.54751556  0.47288109  0.39838709  0.48944641
  0.50960598  0.4873884   0.36748291  0.34924844]
Progress: 51.1% ... Training loss: 0.349 ... Validation loss: 0.519[-0.03888796]
[ 0.27790919  0.77181556  0.3775072   0.68770688  0.3848489   0.64224633
  0.40303448  0.44181857  0.446238    0.60677577]
[ 0.27569753]
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[ 0.21248414]
[ 0.56279075  0.70652598  0.48062275  0.48255303  0.36472056  0.43889542
  0.45554312  0.54672302  0.55867082  0.4958217 ]
[ 0.09347622]
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[ 0.03086758]
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[ 0.89251984]
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[ 1.11628044]
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[ 0.53738284]
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[ 0.13679059]
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[ 1.81168743]
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[ 0.16451705]
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[ 0.1977627]
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[ 1.39107258]
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[ 1.03487809]
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[ 0.6707557]
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[ 0.09898355]
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[ 0.12434979]
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[ 1.79667137]
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[ 0.25948531]
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[ 0.02461338]
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[ 0.22504883]
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[ 0.22553568]
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[ 0.27176375]
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[ 1.26836111]
[ 0.71463151  0.7274527   0.49507832  0.49525505  0.36153175  0.3395096
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[ 0.39002026  0.62291486  0.37208802  0.66266814  0.30192599  0.67389051
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[ 0.00148108]
[ 0.40511263  0.64342795  0.33367088  0.52091651  0.42004745  0.69048344
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[ 0.08460394]
[ 0.71066257  0.63907026  0.47643054  0.5201329   0.24547807  0.25903552
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[-1.01039832]
[ 0.84744715  0.48653897  0.6257548   0.42251771  0.41768757  0.40792955
  0.48601401  0.7088899   0.50758359  0.41521307]
Progress: 51.4% ... Training loss: 0.319 ... Validation loss: 0.504[-0.10016455]
[ 0.50899397  0.45390425  0.62145872  0.40575142  0.59945317  0.60675238
  0.3826261   0.50855305  0.49370527  0.49802714]
[ 0.15651566]
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[ 0.37259666]
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[ 1.0886]
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[ 0.02219138]
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[ 0.395489]
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[ 1.06717196]
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[ 0.01872175]
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[ 1.30724496]
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[ 0.05749707]
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[ 1.01169117]
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[ 0.26443151]
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[ 0.28839512]
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[ 1.35749561]
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[ 0.23753515]
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[ 0.34803791]
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[ 0.09809173]
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[ 0.86567924]
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[ 1.20583721]
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[ 0.99209453]
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[ 0.51833187]
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[ 0.23518293]
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[ 0.59330312]
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[ 1.0193227]
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[ 0.38480752]
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[ 0.90425981]
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[ 0.11292006]
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[ 0.03923002]
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[ 0.01411905]
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[ 0.02694237]
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[ 0.35532459]
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[ 0.14683913]
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[ 0.20800751]
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[ 1.00331618]
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[ 0.67120379]
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[ 0.19059134]
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[ 0.79022142]
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[ 0.47266016]
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[ 0.05170965]
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[ 1.72091013]
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[ 0.68684502  0.6031892   0.55908457  0.37325012  0.35218417  0.37623514
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[ 0.51022095]
[ 0.20982952  0.6407119   0.4051928   0.50747282  0.55887146  0.75832776
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[ 0.66021013]
[ 0.15542015  0.38291205  0.57814796  0.67245348  0.59757458  0.83218788
  0.43632235  0.32416403  0.36313717  0.52409939]
Progress: 51.7% ... Training loss: 0.323 ... Validation loss: 0.502[ 0.26038505]
[ 0.46889121  0.53894043  0.49682091  0.54651269  0.36782427  0.49208011
  0.43662775  0.51190904  0.47928518  0.53168463]
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[ 0.10398277]
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[ 0.25849668]
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[ 0.19916598]
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[ 0.87346866]
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[ 0.02243106]
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[ 1.68950624]
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[ 0.36083177]
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[ 0.01725716]
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[ 0.34113924]
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[ 1.22619888]
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[ 0.44502243]
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[ 0.27382488]
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[ 1.72030011]
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[ 1.92155032]
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[ 1.34968014]
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[ 0.09613305]
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[ 0.11944898]
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[ 0.08305191]
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[ 0.09614782]
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[ 0.64275036]
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[ 1.19974769]
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[ 0.46838042]
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[ 0.42206101]
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[ 0.92381474]
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[ 0.38896611]
[ 0.21510928  0.52769033  0.46606035  0.64476251  0.46364343  0.76440778
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[ 0.59288405  0.7172872   0.52150065  0.52677937  0.36648228  0.63917556
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[ 0.63934736]
[ 0.14803052  0.37151566  0.44276661  0.66420068  0.60539076  0.65374962
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[ 0.78669325  0.55823801  0.53528454  0.30161466  0.35092856  0.36987808
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[ 0.05962309]
[ 0.31512524  0.71219746  0.43386068  0.58381807  0.42508293  0.75908397
  0.46024539  0.46487472  0.55060765  0.69741638]
Progress: 52.0% ... Training loss: 0.318 ... Validation loss: 0.504[-0.44354424]
[ 0.49292996  0.58709538  0.48004638  0.48319709  0.52966725  0.57029937
  0.51361696  0.34935666  0.56334462  0.52916526]
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[ 0.21409812]
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[ 0.03595556]
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[ 0.28638681]
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[ 0.24983574]
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[ 0.9440755]
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[ 0.36086102]
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[ 0.22085466]
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[ 0.11297463]
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[ 0.04985151]
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[ 0.08187689]
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[ 0.40430689]
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[ 0.30401459]
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[ 0.71134139]
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[ 0.1501295]
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[ 0.87290082]
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[ 0.22425396]
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[ 0.19962812]
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[ 0.27822452]
[ 0.23682597  0.50185618  0.48885183  0.54672858  0.47074249  0.60687183
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[ 0.06202682]
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[ 0.77624001  0.45183322  0.62409071  0.35201156  0.25579717  0.33214215
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[ 1.8544996]
[ 0.71033875  0.71824285  0.54801721  0.48393392  0.27124797  0.33125026
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[ 0.35071604  0.59627511  0.46625076  0.51403122  0.32879643  0.44067342
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[-1.58174018]
[ 0.68618445  0.36734654  0.68715887  0.15141771  0.56616425  0.42842743
  0.63652814  0.66044049  0.4046776   0.3818408 ]
[-0.81304051]
[ 0.76593058  0.74642615  0.45606924  0.29772533  0.37253391  0.25947954
  0.52236842  0.55267421  0.67106343  0.5607195 ]
[ 0.27954717]
[ 0.26422633  0.45615611  0.52614122  0.42153831  0.45755859  0.65471052
  0.3233117   0.39288272  0.35168995  0.46813337]
Progress: 52.3% ... Training loss: 0.316 ... Validation loss: 0.505[ 0.28653986]
[ 0.59301967  0.59577963  0.50237765  0.4111954   0.35430171  0.37578429
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[ 0.20049118]
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[ 1.10604894]
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[ 0.28177109]
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[ 0.20619159]
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[ 0.74894702]
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[ 0.63356456  0.56243707  0.5434026   0.43466114  0.46368683  0.56310945
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[ 0.25326392]
[ 0.69183468  0.53245251  0.52918458  0.33706221  0.36585181  0.38062329
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[ 1.16050599]
[ 0.48574508  0.61475335  0.42840626  0.54856826  0.35544163  0.35832736
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[ 0.31241234  0.52049273  0.52223169  0.38998904  0.47398622  0.55823036
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[ 0.38220811  0.48318523  0.44932832  0.49463214  0.41592827  0.57175173
  0.41742325  0.48734887  0.36980147  0.45937545]
Progress: 52.6% ... Training loss: 0.316 ... Validation loss: 0.496[ 0.58995709]
[ 0.65929775  0.56739944  0.53534879  0.36860228  0.38702958  0.44343354
  0.4530442   0.51117015  0.59295915  0.49356245]
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[ 0.27970962]
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[ 0.1102506]
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[ 0.13327151]
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[ 0.06570808]
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[ 0.37000265]
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[ 1.02079153]
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[ 0.47042515]
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[ 0.0910836]
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[ 1.87451165]
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[ 1.73691379]
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[ 0.33590815]
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[ 0.86034174]
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[ 1.20300522]
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[ 0.06515409]
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[ 0.26847745]
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[ 0.09267179]
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[ 0.07745208]
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[ 0.31674723]
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[ 0.04816225]
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[ 0.0739623]
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[ 0.55843828]
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[ 1.17163502]
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[ 0.02658333]
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[ 0.34776847]
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[ 0.16030198]
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[ 0.22475271]
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[ 0.60281459]
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[ 1.06619235]
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[ 0.38463424]
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[ 0.18106899]
[ 0.37983967  0.73401404  0.46367088  0.56071693  0.39981127  0.60725562
  0.41046254  0.44389677  0.54463449  0.58133335]
[ 1.14706537]
[ 0.64650954  0.58967177  0.527751    0.48244602  0.31554881  0.56830056
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[ 0.08409205]
[ 0.6078148   0.34615155  0.69996881  0.18304436  0.39509378  0.30515051
  0.58137819  0.62001663  0.49976581  0.25915994]
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[ 0.53963168  0.5385229   0.42597855  0.39455882  0.43948467  0.46215536
  0.44356634  0.51939111  0.51397668  0.50388317]
Progress: 52.9% ... Training loss: 0.317 ... Validation loss: 0.493[ 0.1093573]
[ 0.21270386  0.57737549  0.5482634   0.61817134  0.34366074  0.73062355
  0.35558131  0.4266477   0.46807345  0.53033225]
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[ 1.35841149]
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[ 0.06945959]
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[ 0.86517969]
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[ 0.35287506]
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[ 0.35126225]
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[ 0.95523803]
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[ 0.1628163]
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[ 0.15231296]
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[ 0.19989079]
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[ 0.05535453]
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[ 0.09072559]
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[ 0.79499715]
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[ 1.44306736]
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[ 1.34071903]
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[ 0.56103526]
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[ 0.63998961]
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[ 2.17350072]
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[ 1.19148245]
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[ 0.36554835]
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[ 1.22273559]
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[ 1.61757377]
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[ 0.86073036]
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[ 0.03192095]
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[ 0.1797257]
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[ 1.9758816]
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[ 0.53834937]
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[ 0.03790697]
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[ 0.37011074]
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[ 0.37947748]
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[ 0.40367466]
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[ 0.03486908]
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[ 1.11134137]
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[ 2.53873008]
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[-0.37085011]
[ 0.67266595  0.61797403  0.44801669  0.31432542  0.42392345  0.60846004
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[-1.4370633]
[ 0.6690873   0.71408273  0.49707462  0.48046704  0.26041254  0.41280047
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[-0.22245103]
[ 0.6292799   0.49348402  0.52142278  0.38007854  0.43624803  0.39873878
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[-0.02751092]
[ 0.41247868  0.54799245  0.45714481  0.45688043  0.46863354  0.66603992
  0.45199778  0.48753966  0.38680945  0.56328095]
Progress: 53.1% ... Training loss: 0.319 ... Validation loss: 0.488[-0.16571713]
[ 0.38692721  0.8271576   0.29463348  0.66299532  0.38888493  0.57412506
  0.30340412  0.52765982  0.567847    0.77516171]
[ 0.08790108]
[ 0.49894111  0.54172719  0.55860047  0.53798983  0.41948764  0.3981424
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[ 0.30052681]
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[ 0.22097684]
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[ 0.63292735]
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[ 0.31238901]
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[ 0.72687867]
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[ 0.27322574]
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[ 0.21826513]
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  0.53363307  0.6635977   0.5162249   0.61188998]
[ 0.15451375]
[ 0.27788071  0.460496    0.59330892  0.54081888  0.46347959  0.59282323
  0.40186428  0.37741941  0.37940795  0.6889247 ]
[ 1.51597132]
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  0.446811    0.57069027  0.61856789  0.43187528]
[ 0.10421769]
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  0.3719646   0.39694855  0.39272799  0.73167138]
[ 0.10549981]
[ 0.29661914  0.66524131  0.41125729  0.63213736  0.44207877  0.72133684
  0.40163522  0.49936372  0.36999361  0.6119403 ]
[ 1.23368494]
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  0.5579271   0.56159563  0.49601677  0.40099121]
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[ 0.58319302]
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  0.60298351  0.68542037  0.69037757  0.30627099]
[ 0.27854727]
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[ 0.22709264]
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[ 0.49358977]
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[ 0.18955885]
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[ 0.00560604]
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[ 0.3043638]
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[ 0.67290027]
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[ 1.67041391]
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[ 0.72792783]
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[ 0.72222992]
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[ 0.43400906  0.44374541  0.67646391  0.32667549  0.32058154  0.47001185
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[ 0.73021628  0.72645689  0.5494687   0.43128327  0.35125493  0.56710255
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[ 0.10859287]
[ 0.3611706   0.21844626  0.73058415  0.29891929  0.5664284   0.43367911
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[ 0.2542365]
[ 0.57906229  0.50487492  0.49625028  0.34123549  0.27743371  0.37303445
  0.54457201  0.54763403  0.49091748  0.32601   ]
Progress: 53.4% ... Training loss: 0.321 ... Validation loss: 0.494[-0.12758616]
[ 0.69472922  0.60306337  0.56609051  0.36442489  0.34513631  0.36143009
  0.5853282   0.60996409  0.58217041  0.3522209 ]
[ 0.07486319]
[ 0.30200027  0.69286656  0.32447512  0.72910633  0.41037393  0.65755157
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[ 0.30015237]
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[ 0.68919737]
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[ 0.27471583]
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[ 0.96425266]
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[ 0.1822403]
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[ 0.56034065]
[ 0.70663458  0.55326218  0.59601213  0.31981435  0.40699997  0.41863442
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[ 0.56541923  0.28082034  0.70143411  0.29281113  0.42049737  0.49388808
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[ 0.63963146  0.45669609  0.51718285  0.36444095  0.3282872   0.44972577
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[ 0.22811236]
[ 0.38438066  0.37940992  0.63410276  0.26364337  0.68834186  0.7142038
  0.37303485  0.40275635  0.31072594  0.68494376]
Progress: 53.7% ... Training loss: 0.357 ... Validation loss: 0.511[-0.29125153]
[ 0.337658    0.49823033  0.51521555  0.47050965  0.46619482  0.6525159
  0.33575895  0.57437755  0.47935495  0.54637675]
[ 0.05792874]
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[ 0.33688021]
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[ 0.0656285]
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[ 0.24614688]
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[ 0.09038978]
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[ 0.31156176]
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[ 0.7104706]
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[ 0.30127612]
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[ 0.37346606]
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[ 0.12478784]
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[ 0.86310627]
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[ 0.44017877  0.60393917  0.40624928  0.52964486  0.33475598  0.48345298
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  0.60690075  0.52386054  0.69784339  0.52263899]
Progress: 54.0% ... Training loss: 0.381 ... Validation loss: 0.566[ 0.01701347]
[ 0.70521403  0.52761955  0.59571352  0.29158564  0.33275507  0.41176313
  0.59453036  0.49422317  0.58362347  0.44042346]
[ 0.46369714]
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[ 0.07610395]
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[ 0.48184197]
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[ 0.21699032]
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[ 1.05644692]
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[ 1.12320028]
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[ 0.60561008]
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[ 0.09439776]
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[ 0.52301115]
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[ 0.53101009]
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[ 0.01856254]
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[ 0.16686707]
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[ 0.39119817]
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[ 0.90941395]
[ 0.5394398   0.76846719  0.41273988  0.48736339  0.31648278  0.36749181
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[ 0.09215381]
[ 0.39874136  0.60513616  0.43344012  0.62174485  0.3146337   0.69011864
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[ 0.37823472]
[ 0.67783877  0.57162938  0.52381199  0.27002802  0.41656803  0.4316053
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  0.43201692  0.54214546  0.55110727  0.50018752]
Progress: 54.3% ... Training loss: 0.324 ... Validation loss: 0.503[ 0.24863011]
[ 0.44562495  0.64099915  0.45621336  0.58294715  0.26587741  0.56435027
  0.48230769  0.62337573  0.5208059   0.5567809 ]
[ 0.3559636]
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[ 0.60747748]
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[ 0.51665319]
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[ 0.5583109]
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[ 0.31800399]
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[ 0.47406501]
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[ 0.43729066]
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[ 0.36428076]
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[ 0.32843938]
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[ 0.04458679]
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[ 0.44503574]
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[ 1.59023599]
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[ 0.03986327]
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[ 1.21381685]
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[ 0.52075651]
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[ 0.00388852]
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[ 0.6165506]
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[ 0.6121257   0.5820177   0.43820055  0.55224159  0.2873181   0.54365292
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[ 0.41695081]
[ 0.18257348  0.56348426  0.43847464  0.5602198   0.55696002  0.68043856
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[ 0.01769408]
[ 0.68083354  0.60749328  0.54680698  0.27636641  0.37446999  0.38536874
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[ 0.72942859]
[ 0.80177806  0.67032813  0.64389959  0.31135244  0.39871603  0.3853364
  0.67908679  0.68858769  0.63550593  0.40025335]
Progress: 54.6% ... Training loss: 0.316 ... Validation loss: 0.509[-0.33226993]
[ 0.48300092  0.7635439   0.32608139  0.68202955  0.324753    0.52669102
  0.31527965  0.4587442   0.54790556  0.6881782 ]
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[ 0.16623008]
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[ 1.27204357]
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[ 0.35010023]
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[-0.21601056]
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[ 0.30567533  0.61539339  0.47240213  0.61391073  0.39473672  0.52947363
  0.49172196  0.58755854  0.41907508  0.61311108]
[ 0.37611424]
[ 0.25347725  0.45565068  0.52388008  0.42194642  0.46049517  0.66580349
  0.318825    0.38415732  0.34764792  0.47286818]
[ 0.29267282]
[ 0.2864571   0.69253875  0.43933394  0.44899103  0.40226265  0.66046642
  0.3754415   0.38237108  0.49481469  0.5851447 ]
[ 0.29093935]
[ 0.14989971  0.53592504  0.47951354  0.58425297  0.3757921   0.77548358
  0.41610814  0.49216516  0.41154611  0.4977387 ]
[-0.26705516]
[ 0.48900687  0.53284605  0.68496005  0.31914118  0.59159666  0.46435728
  0.44393395  0.53082584  0.38091465  0.60761425]
[ 0.18667599]
[ 0.22258192  0.46790438  0.57982286  0.52725404  0.39852969  0.67894343
  0.43055932  0.41399716  0.43318938  0.41526168]
Progress: 54.9% ... Training loss: 0.335 ... Validation loss: 0.500[-0.45941814]
[ 0.39183623  0.63121295  0.42562454  0.4772726   0.4558803   0.52004061
  0.44422831  0.36790558  0.57340898  0.6590354 ]
[ 0.13481307]
[ 0.39139422  0.67738205  0.53395293  0.41989615  0.41144884  0.66759036
  0.47135647  0.33662073  0.62479996  0.66911338]
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  0.37187425  0.32569684  0.36670516  0.4784634 ]
[-0.44353986]
[ 0.6180907   0.68006348  0.62128929  0.55187974  0.44401482  0.48850274
  0.44725185  0.56083338  0.64198515  0.51761378]
[-0.39617117]
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  0.39835515  0.52437312  0.54461737  0.51217309]
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[ 0.35403044  0.28793379  0.76396269  0.38971129  0.55706248  0.55088117
  0.43700715  0.39272236  0.382892    0.53785519]
[-0.41559748]
[ 0.55754717  0.67357999  0.50832242  0.47580805  0.49465158  0.53810047
  0.43905933  0.5679238   0.54549317  0.54727855]
[ 1.13865551]
[ 0.77369435  0.67558509  0.57443805  0.34055756  0.3141941   0.29547278
  0.58580905  0.74489599  0.70070239  0.32853246]
[-1.08872537]
[ 0.44370571  0.35187266  0.73374539  0.23416065  0.39129914  0.46554125
  0.49119607  0.51888426  0.45211422  0.34419497]
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  0.39974737  0.50646002  0.51748578  0.53494282]
[-0.1898663]
[ 0.29609421  0.74385141  0.41704431  0.62693098  0.40963006  0.64198138
  0.40016372  0.4460453   0.60050716  0.64124219]
[-0.99010888]
[ 0.37916247  0.4316837   0.62260878  0.36556314  0.38930766  0.4124045
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[ 0.1315663]
[ 0.46769006  0.5489564   0.52515728  0.36445873  0.47432452  0.30102042
  0.50906881  0.45739822  0.55873922  0.57735573]
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  0.42470194  0.4326366   0.36587148  0.45807351]
[-1.44721286]
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  0.5011442   0.62786586  0.60961615  0.43852132]
[ 0.12576471]
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  0.44230728  0.78085932  0.4879226   0.27526036]
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[ 0.00937325]
[ 0.69755505  0.63418877  0.58314375  0.44575747  0.43807174  0.43013128
  0.5840024   0.625551    0.57150381  0.4693378 ]
[-0.88019812]
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  0.4422987   0.70705001  0.52275931  0.37610411]
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[-0.2519079]
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[-0.4430331]
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  0.51015562  0.56978566  0.5155037   0.63108077]
[ 0.17478606]
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[-0.78346119]
[ 0.55044603  0.78382287  0.44553648  0.46714444  0.32188074  0.6007499
  0.46493422  0.45292587  0.62460745  0.6275388 ]
[ 0.40761753]
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  0.38627874  0.5729757   0.59132177  0.44040076]
[ 0.23142819]
[ 0.56258601  0.6734855   0.43419885  0.63346553  0.25544349  0.3529357
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[ 0.52563105  0.6795712   0.57644847  0.48982603  0.40847838  0.61434214
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[ 0.04924262]
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[ 0.53595702]
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[ 0.09570555]
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[ 0.27398928]
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[ 0.1622599]
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[ 0.11771816]
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[ 1.12284679]
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[ 0.02484749]
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[ 0.00952159]
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[ 1.23268732]
[ 0.65529751  0.71356752  0.53973948  0.35644412  0.36070361  0.36229977
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[ 0.51115778]
[ 0.4932502   0.72793483  0.49295087  0.61419358  0.33224466  0.48240333
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[ 0.94099874]
[ 0.69043409  0.59245697  0.50874466  0.48103204  0.28202297  0.38079397
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[ 0.52149196  0.69227294  0.38838865  0.6626616   0.22441186  0.6338921
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[ 0.51909846  0.73494193  0.49990937  0.53626937  0.46550067  0.73703824
  0.39365357  0.56563324  0.55824868  0.67385185]
Progress: 55.1% ... Training loss: 0.350 ... Validation loss: 0.542[ 0.45708671]
[ 0.66608652  0.5687109   0.51326417  0.45727072  0.36833601  0.45912659
  0.54394736  0.63467003  0.50762665  0.48504615]
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[ 0.28606346]
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[ 0.07130468]
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[ 0.28830537]
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[ 0.0672]
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[ 1.31754977]
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[ 0.19682051]
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[ 0.15091694]
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[ 0.33646037]
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[ 0.31691373]
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[ 0.22034846]
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[ 1.12130551]
[ 0.59026198  0.74633162  0.50684583  0.46805298  0.41434282  0.44191911
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[ 1.38278575]
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[ 0.50696409]
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[ 1.77236623]
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[ 0.34501531]
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[ 1.89879242]
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[ 0.40632739]
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[ 0.48633208]
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[ 0.28118241]
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[ 1.40405712]
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[ 0.2175396]
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[ 0.57806621]
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[ 0.21864307]
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[ 1.22431911]
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[ 1.25227587]
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[ 0.22107775]
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[ 1.06768571]
[ 0.79429152  0.67000831  0.64071342  0.31535884  0.4049777   0.39958173
  0.67417388  0.67489493  0.62863099  0.4131425 ]
[ 0.19473302]
[ 0.27438828  0.64634043  0.38381659  0.60721476  0.3030486   0.67090751
  0.35244057  0.55291448  0.51135178  0.55244999]
[ 0.32391762]
[ 0.51176621  0.59868208  0.5516094   0.43726118  0.38569579  0.46223285
  0.52365517  0.4881404   0.54746563  0.4731118 ]
[ 0.25832581]
[ 0.41576589  0.74293017  0.46189659  0.62239671  0.38753366  0.66944671
  0.43569362  0.51124835  0.58316867  0.64158989]
[ 0.20303432]
[ 0.25208793  0.49125139  0.48194079  0.63515804  0.45834886  0.55724299
  0.39063555  0.40261428  0.48268865  0.48213744]
[ 1.07760248]
[ 0.49501576  0.6496516   0.49039926  0.43543637  0.35936959  0.54960036
  0.39858997  0.59235075  0.48686789  0.54680734]
[ 1.83216744]
[ 0.73865036  0.51518853  0.56437372  0.44071233  0.371811    0.40598155
  0.51285911  0.57270517  0.46264572  0.44674403]
[ 0.04921461]
[ 0.38233949  0.73052102  0.29812107  0.69637839  0.27679506  0.41636325
  0.53047187  0.65765462  0.59006678  0.6499468 ]
Progress: 55.4% ... Training loss: 0.313 ... Validation loss: 0.501[-0.15734852]
[ 0.43802824  0.34991994  0.67323735  0.18628097  0.40403697  0.37564768
  0.58185273  0.55672819  0.52954011  0.24525192]
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[ 0.52824628]
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[ 0.02012692]
[ 0.14295276  0.5114028   0.42836228  0.6781184   0.39700577  0.56570324
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[ 0.27174471]
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[ 1.38500101]
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  0.5144086   0.59472596  0.48183337  0.28390126]
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  0.5435497   0.57408878  0.49152838  0.63074318]
[ 0.6322695]
[ 0.63361699  0.70137492  0.55138558  0.45010251  0.41755372  0.49972206
  0.52811887  0.63572371  0.63143311  0.50807634]
[ 0.63499425]
[ 0.6895563   0.70806869  0.55583642  0.39533061  0.35601603  0.56331935
  0.57974845  0.57427952  0.58211643  0.55130751]
[ 1.1621677]
[ 0.70416304  0.55156034  0.66091136  0.32013029  0.38035409  0.32336229
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[-1.50573222]
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[ 0.45007579  0.65350299  0.46584591  0.63756076  0.56709545  0.72058569
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[ 0.47957986]
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[ 0.23559562]
[ 0.47502882  0.61130016  0.5061039   0.50728019  0.36658784  0.60526306
  0.52152109  0.64525687  0.48770406  0.49302255]
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  0.3642959   0.609508    0.42092067  0.64052578]
[ 0.12911952]
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[-0.31783259]
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[-0.27871351]
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[ 0.47377709]
[ 0.21756255  0.45469169  0.53211901  0.47817177  0.45526033  0.68163563
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  0.4491725   0.61888186  0.51944304  0.33355498]
[ 1.86750185]
[ 0.70518026  0.48194045  0.59362514  0.33556732  0.31194247  0.37616301
  0.46747662  0.48715121  0.52213254  0.37122251]
[ 1.27663617]
[ 0.75675091  0.56782624  0.62835604  0.32793265  0.43505458  0.47073793
  0.57250558  0.54953949  0.61858372  0.43201206]
[ 0.10441763]
[ 0.30311352  0.38748191  0.718968    0.42795523  0.51923755  0.73094445
  0.46168442  0.34766682  0.36032184  0.49560164]
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[ 0.17763147]
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[ 0.51532703]
[ 0.28914916  0.67005205  0.3924388   0.45850647  0.32182036  0.44463803
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[ 1.12033528]
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[ 0.327082]
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[ 1.4831901]
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[ 0.30573046]
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[ 0.33608143]
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[ 0.39884828]
[ 0.39885712  0.61604687  0.41561517  0.54339658  0.36671547  0.35502648
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[ 0.45327095]
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[ 0.65841056]
[ 0.37049856  0.36989177  0.55629348  0.4271476   0.39585235  0.33916599
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[ 0.3085782]
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[ 1.51828136]
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[ 0.05868486]
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[ 0.4388977]
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[ 0.33409085  0.63176609  0.3170274   0.70695884  0.32783755  0.48056421
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[ 0.8740895]
[ 0.75381022  0.59045756  0.61573547  0.25187834  0.33614281  0.38786285
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[ 0.39038446  0.59757726  0.5379767   0.54630699  0.27521358  0.50664949
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[ 0.16757533  0.45325741  0.53320488  0.52051229  0.4717774   0.59504759
  0.51235262  0.41464285  0.46698207  0.48557   ]
Progress: 55.7% ... Training loss: 0.318 ... Validation loss: 0.490[-0.49066757]
[ 0.48699253  0.58996885  0.55835604  0.26667792  0.49631641  0.57815324
  0.43064288  0.53486891  0.58478398  0.55562537]
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[ 1.11784324]
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[ 0.2465093]
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[ 0.04795306]
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[ 0.01906139]
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[ 0.05029773]
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[ 0.12937468]
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[ 0.05804454]
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[ 0.22352306]
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[ 1.04241763]
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[ 0.39432888]
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[ 0.1649116]
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[ 0.35892515]
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[ 0.12617534]
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[ 0.29122079  0.79964873  0.34960123  0.68166283  0.29287261  0.74734888
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[ 0.610498    0.33666632  0.64760151  0.33466858  0.46489816  0.50444747
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[ 0.65165008  0.65682145  0.52296595  0.3761162   0.46742634  0.55390404
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[ 0.70800033  0.67190513  0.47978326  0.37713713  0.26344343  0.40675696
  0.4986013   0.58627666  0.6327515   0.44173002]
Progress: 56.0% ... Training loss: 0.340 ... Validation loss: 0.528[ 0.06127315]
[ 0.65594916  0.68649448  0.45583804  0.34219576  0.30131004  0.43056072
  0.4653674   0.53522419  0.54680929  0.47744563]
[ 0.24329428]
[ 0.49552942  0.61044992  0.49766947  0.48226063  0.32793274  0.33784905
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[ 1.56716903]
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[ 0.74018278]
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[ 1.15236419]
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[ 0.11553281]
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[ 1.13061077]
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[ 0.23726511]
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[ 0.32748851]
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[ 1.06138853]
[ 0.64377729  0.57102179  0.58145534  0.42296712  0.3334352   0.39864855
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[ 0.35744737]
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[-1.18818113]
[ 0.46973714  0.54632358  0.53768828  0.54789603  0.30328842  0.43354407
  0.49235111  0.69463671  0.44234596  0.30385282]
[ 0.34308193]
[ 0.69446432  0.67853754  0.48747847  0.35803072  0.29892436  0.5023029
  0.55848604  0.7539348   0.61202722  0.4689949 ]
[ 0.07649186]
[ 0.48223633  0.53723766  0.5754552   0.27774688  0.43450602  0.6174956
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[ 0.48029208  0.74591793  0.39406354  0.6501624   0.32093529  0.54813007
  0.35571704  0.43913844  0.57355529  0.53566684]
Progress: 56.3% ... Training loss: 0.310 ... Validation loss: 0.488[ 1.21079609]
[ 0.62663725  0.5256803   0.58800196  0.40797574  0.46076869  0.50651518
  0.48504019  0.47045735  0.47498873  0.43717615]
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[ 1.80055248]
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[ 0.1584132]
[ 0.38245276  0.71517168  0.42942593  0.62385706  0.25584147  0.4710602
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[ 0.75840876]
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[ 0.30362385]
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[ 0.29453718]
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[ 0.88373547]
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[ 0.86800494]
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[ 0.3813803]
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[ 0.43847357]
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[ 0.38126937]
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[ 0.57894095]
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[ 0.19838373]
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[ 0.10098283]
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[ 0.14108619]
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[ 2.13199997]
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[ 0.15624802]
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[ 0.4108122]
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[ 0.4818782]
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[ 0.84105385]
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[ 1.24555986]
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[ 0.04420192]
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[ 0.17554899]
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[ 0.2253825]
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[ 0.05969091]
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[ 1.56980119]
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[ 0.09815926]
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[ 1.41001259]
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[ 0.65094954]
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[ 1.23918808]
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[ 0.16517462]
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[ 0.68370419  0.61376353  0.62622123  0.43485975  0.52963346  0.48096303
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[ 0.60789643  0.63417011  0.49603569  0.61810488  0.47856846  0.57620979
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[ 0.24688225  0.50877554  0.5070769   0.48900724  0.49720339  0.70344937
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[ 0.4763868   0.65493861  0.37614257  0.56058762  0.30225197  0.54422732
  0.49363837  0.57772859  0.52573093  0.42563889]
Progress: 56.6% ... Training loss: 0.313 ... Validation loss: 0.499[-0.03956756]
[ 0.58705896  0.59442721  0.55334601  0.48124539  0.50243229  0.56377021
  0.46684355  0.57210134  0.63095369  0.5448041 ]
[ 0.84513584]
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[  5.75579099e-05]
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[ 0.65692354]
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[ 0.47068567]
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[ 0.30864871]
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[ 0.10404255]
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[ 0.05526004]
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[ 0.26915839]
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[ 0.57549926]
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[ 0.09768858]
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[ 0.07484005]
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[ 0.24031381]
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[ 0.60352756]
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[ 0.17515242]
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[ 1.17291422]
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[ 0.28632141]
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[ 0.27542565]
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[ 0.22598721]
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[ 0.01756081]
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[ 0.02275894]
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[ 1.4261815]
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[ 0.11127561]
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[ 1.00468599]
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[ 0.46222079]
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[ 0.14512939]
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[ 0.14567699]
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[ 0.28563461]
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[ 0.24511117]
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[ 0.43999078]
[ 0.33863653  0.60759324  0.5942094   0.4379324   0.43158588  0.60112486
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[ 0.36251983]
[ 0.43688874  0.41664946  0.67120686  0.4413951   0.52739291  0.48580274
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[-0.26776035]
[ 0.50137388  0.65866332  0.51742377  0.43368329  0.37200851  0.5294425
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[ 0.27418606]
[ 0.69649306  0.54616814  0.59682441  0.33302895  0.36451722  0.51193221
  0.51208107  0.47645421  0.62031859  0.566364  ]
Progress: 56.9% ... Training loss: 0.311 ... Validation loss: 0.490[-0.14177634]
[ 0.62207108  0.54611334  0.52874562  0.43672108  0.44561901  0.58427757
  0.58731999  0.60632076  0.57764122  0.39850686]
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[ 0.00974844]
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[ 0.16167591]
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[ 0.07360159]
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[ 0.16448929]
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[ 0.38844731]
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[ 0.68384166]
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[ 0.35597957]
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[ 0.06119531]
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[ 0.25440661]
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[ 0.14040798]
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[ 0.8809731]
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[ 0.66091725]
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[ 0.7854755]
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[ 0.03860698]
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[ 0.013068]
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[ 0.13524802]
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[ 0.45237496]
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[ 0.38008566  0.40931031  0.64093499  0.32728975  0.51969816  0.63706829
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[ 0.73677929  0.49873118  0.55770725  0.31518121  0.36888457  0.31864223
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[ 0.08394504]
[ 0.35850424  0.81780734  0.36938181  0.72027536  0.39212541  0.67637378
  0.36398408  0.61301271  0.62894135  0.67356665]
Progress: 57.1% ... Training loss: 0.314 ... Validation loss: 0.498[ 0.58332042]
[ 0.28323853  0.45129588  0.56338152  0.53543163  0.47632244  0.55518766
  0.4711441   0.50653954  0.49886479  0.37493836]
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[ 0.48120874  0.52828637  0.59529687  0.35612057  0.5538664   0.55085229
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[ 0.185234]
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[ 0.18279594]
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[ 1.18337089]
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[ 0.06043937]
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[ 0.04649144]
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[ 0.09618712]
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[ 0.93722865]
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[ 0.72183501]
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[ 0.35668792]
[ 0.12587928  0.42545078  0.58408175  0.66634138  0.37507928  0.70487364
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[ 0.0259088]
[ 0.47051461  0.6484188   0.43313517  0.51948555  0.40148519  0.70158878
  0.49240258  0.7110797   0.55523503  0.50909314]
[ 1.66138066]
[ 0.65000764  0.70912305  0.42163656  0.47059909  0.23996791  0.30928302
  0.59775247  0.78060856  0.66554563  0.25453451]
[ 1.14846089]
[ 0.64114942  0.67433189  0.58084701  0.38015954  0.48672236  0.39014713
  0.48694476  0.62777718  0.56468349  0.48120018]
Progress: 57.4% ... Training loss: 0.329 ... Validation loss: 0.503[ 0.76371018]
[ 0.51448754  0.6307746   0.49797956  0.44349258  0.41774265  0.48128518
  0.54651491  0.74837595  0.5880253   0.37955261]
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[ 0.64986623]
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[ 0.19071431]
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[ 0.10363566]
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[ 0.40706367]
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[ 0.71230995]
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[ 0.49165438]
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[ 1.75261428]
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[ 0.20951289]
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[ 1.33636058]
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[ 0.43629604]
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[ 0.31168013]
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[ 0.78547859]
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[ 1.43149606]
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[ 0.49923384]
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[ 0.23441217]
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[ 0.06882252]
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[ 0.39397975  0.71437702  0.39372127  0.5742716   0.45979601  0.61994703
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[ 0.22059513]
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[ 0.27032068]
[ 0.16910749  0.66380666  0.41505416  0.54863594  0.37080924  0.68884622
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[ 0.17467308]
[ 0.63996737  0.54128867  0.58817128  0.30211086  0.45467963  0.52111112
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[ 0.62987769  0.33429333  0.73005991  0.3322485   0.59820182  0.35695203
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[ 0.21237605]
[ 0.19407949  0.35974933  0.473796    0.65971829  0.50558125  0.6167727
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[-0.57741402]
[ 0.39039961  0.65272792  0.48170768  0.5905029   0.37759605  0.5548674
  0.46436859  0.4462794   0.55284352  0.47643287]
[-0.72538911]
[ 0.50461669  0.66383595  0.50466481  0.62495987  0.3751822   0.6007435
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[-0.65777845]
[ 0.34789612  0.71881559  0.50042066  0.59550203  0.36804758  0.62673449
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[ 0.18794807]
[ 0.36375237  0.67297717  0.45018512  0.72654528  0.32767781  0.72035882
  0.36692057  0.47201308  0.44755406  0.6150564 ]
Progress: 57.7% ... Training loss: 0.361 ... Validation loss: 0.544[-0.22079727]
[ 0.52467878  0.63085389  0.53577602  0.34169805  0.42408021  0.50551358
  0.44862398  0.61200889  0.55332628  0.55377678]
[ 0.14280235]
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[ 0.14241566]
[ 0.45865353  0.74274633  0.50178121  0.6335095   0.36693997  0.58736241
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[ 1.6266432]
[ 0.45134044  0.66084968  0.45471252  0.55285381  0.34162725  0.34040703
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[ 1.10081577]
[ 0.68624825  0.55499421  0.62812999  0.30306391  0.42700979  0.51023627
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[ 0.18366198]
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[ 0.09399625]
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[ 0.72952638]
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[ 0.12911255]
[ 0.24508717  0.67851565  0.41458285  0.63046354  0.42217086  0.66394336
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[ 0.54473765]
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[ 0.15595932]
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[ 0.48814523]
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[ 0.17126247]
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[ 0.45074944]
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[ 0.20987865]
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[ 0.07966539]
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[ 0.42089453  0.63806743  0.38302998  0.57545725  0.31136929  0.5658249
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[ 2.09008702]
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[ 0.24046776]
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[ 0.22540861]
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[ 0.0484082]
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[ 0.0491106]
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[ 2.59187254]
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[ 0.13678911]
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[ 0.87664356]
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[ 0.27002451]
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[ 2.3674138]
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[ 0.29686746]
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[ 0.15985257]
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[ 0.16257134]
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[ 1.6222156]
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[ 0.72521087]
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[ 0.13870558]
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[ 1.04731523]
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[ 0.12745441]
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[ 0.34529191]
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[ 0.14416892]
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[ 0.52160535]
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[ 0.34114561]
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[ 0.21887153]
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[ 0.42444831]
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[ 0.99805775]
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[ 0.31814497]
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[ 0.62289634]
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[ 1.57942257]
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[ 0.22507367]
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[ 0.2102766]
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[ 0.14820898]
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[ 0.60490924]
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[ 0.01294943]
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[ 0.94850453]
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[ 0.00041352]
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[ 0.69167401]
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[ 0.58990588]
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[ 0.37045121]
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[ 1.87218931]
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[ 1.92949234]
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[ 0.24241856]
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[ 0.17518696]
[ 0.67462587  0.66338919  0.48878381  0.30572809  0.37431597  0.34873429
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[ 0.02288547]
[ 0.36940557  0.59505272  0.4249722   0.43312933  0.45336465  0.4897384
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[ 0.212078]
[ 0.24083488  0.76706446  0.28825477  0.64004219  0.40646002  0.63378465
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[ 0.564421]
[ 0.68447309  0.51754746  0.56793361  0.33171339  0.35045015  0.47300311
  0.45488467  0.43673691  0.44040682  0.49594544]
Progress: 58.0% ... Training loss: 0.369 ... Validation loss: 0.538[-0.02541786]
[ 0.27828744  0.55691431  0.46997185  0.57372856  0.37692344  0.43717529
  0.49310985  0.62461323  0.53838415  0.32765797]
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[ 1.07015347]
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[ 1.30068464]
[ 0.71997112  0.63216555  0.49481185  0.34354036  0.182405    0.2514216
  0.54931575  0.75285393  0.63243562  0.29436761]
[ 0.0103624]
[ 0.26229487  0.46894517  0.66609101  0.45812958  0.42698975  0.76048979
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[ 0.2094759]
[ 0.20992932  0.42343366  0.55611282  0.71395433  0.3388364   0.74641958
  0.32728355  0.3430428   0.39915435  0.4864024 ]
[ 0.12831981]
[ 0.36046928  0.61231849  0.47151528  0.49924569  0.41273859  0.4668924
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[-1.14569245]
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  0.49709023  0.66851204  0.48572237  0.43253751]
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[ 0.30091602]
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[ 0.93491411]
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[ 0.30169522]
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[-1.2469195]
[ 0.53443914  0.6450501   0.5889817   0.61210395  0.37672842  0.54577712
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[ 0.31960935]
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[ 0.1986502]
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[ 1.1747568]
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[ 0.13751455]
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[ 0.0678057]
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[ 0.07448656]
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[ 0.50207459  0.73108543  0.32371061  0.54837426  0.21075037  0.50745822
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[ 0.44158246  0.41574005  0.65577801  0.30319583  0.63832496  0.55011814
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[ 0.36430534  0.7174855   0.41915223  0.64393278  0.33386074  0.58497771
  0.34497455  0.58152309  0.60272405  0.6447694 ]
[-0.18548687]
[ 0.50966435  0.64252237  0.34518731  0.36150222  0.3566651   0.44524385
  0.47251895  0.49410504  0.56837679  0.41853037]
[-1.0325692]
[ 0.34570957  0.68001266  0.43378221  0.64725492  0.30922552  0.60784464
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[-0.70149339]
[ 0.43079601  0.67601147  0.51650813  0.50315638  0.4612878   0.62311487
  0.50425324  0.44333647  0.53040388  0.53689743]
Progress: 58.3% ... Training loss: 0.418 ... Validation loss: 0.621[-0.81534825]
[ 0.42410415  0.69515041  0.47024865  0.5466902   0.23125605  0.40282286
  0.40090547  0.56836297  0.50676813  0.40918568]
[ 0.52134373]
[ 0.24280058  0.61998903  0.38513403  0.48651847  0.39154147  0.6928687
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[ 0.09615854]
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[ 0.19944838]
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[ 0.09100624]
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  0.46965372  0.40875646  0.40650293  0.421516  ]
[ 0.34422154]
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  0.53033052  0.62425609  0.50120766  0.25571155]
[ 1.31947222]
[ 0.670711    0.56210423  0.52594545  0.43053324  0.24579781  0.4296257
  0.43594786  0.41063999  0.50044674  0.40198831]
[ 0.28953174]
[ 0.34723168  0.48284137  0.47489339  0.49565194  0.51586951  0.66405794
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[ 0.41469165]
[ 0.32590752  0.46400862  0.39534698  0.63672549  0.59971407  0.79419708
  0.34825372  0.57377412  0.38536159  0.53985757]
[ 1.96317205]
[ 0.74216038  0.49434163  0.58522953  0.27743219  0.31450793  0.33423004
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[ 0.54232051]
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[ 0.4440132]
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  0.43919634  0.41138371  0.6150851   0.43589738]
[ 0.1951368]
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  0.44136755  0.41239561  0.47601705  0.33292038]
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  0.45597817  0.69354107  0.48968669  0.28182761]
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[ 0.00529895]
[ 0.55740473  0.64610447  0.50880627  0.48147102  0.46986569  0.62696902
  0.46782505  0.52089086  0.53035846  0.59614116]
[ 0.75002486]
[ 0.23844315  0.44254874  0.62367999  0.48436602  0.51670502  0.70735549
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[ 0.43631183  0.44757367  0.56663684  0.43385193  0.34498203  0.61666503
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[ 0.53523368  0.65455682  0.5152237   0.58778841  0.41980735  0.68354532
  0.41100353  0.55825091  0.60594089  0.56540001]
Progress: 58.6% ... Training loss: 0.312 ... Validation loss: 0.477[-0.24934055]
[ 0.7710956   0.52596999  0.60161504  0.4011299   0.276461    0.29348427
  0.59316642  0.72954424  0.53159922  0.27089   ]
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[ 0.69934485]
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[ 0.30208832]
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[ 0.13952896]
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[ 0.40227723]
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[ 1.03826463]
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[ 1.02073559]
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[ 0.74387448]
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[ 0.34932666]
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[ 0.06399661]
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[ 2.13598901]
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[ 0.2393146]
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[ 1.33206197]
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[ 0.03250912]
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[ 0.37951672]
[ 0.17114674  0.5073995   0.57113673  0.58389575  0.45753549  0.72090806
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[ 0.64704063  0.59189606  0.62628291  0.28891853  0.50458429  0.61279473
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[ 0.11296848]
[ 0.51456675  0.49239734  0.62162143  0.38669422  0.30885166  0.54249527
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[ 0.36864562  0.55025231  0.43102322  0.63681885  0.44986525  0.53377391
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[ 0.50224054  0.53467668  0.61295586  0.2932226   0.45216104  0.34693613
  0.52821963  0.47518654  0.53025183  0.4508488 ]
Progress: 58.9% ... Training loss: 0.315 ... Validation loss: 0.505[ 0.08870419]
[ 0.42118001  0.75109258  0.41375687  0.73528461  0.50769156  0.70313605
  0.33126974  0.5386036   0.54714605  0.66233602]
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[ 0.12825929]
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[ 0.664797]
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[ 0.10616255]
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[ 0.81044203]
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[ 0.76781529]
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[ 0.1695651]
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[ 0.29137441]
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[ 0.03189058]
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[ 0.20997463]
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[ 0.09624082]
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[ 0.57124297]
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[ 0.72267196]
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[ 0.06097197]
[ 0.44364759  0.67425955  0.43887906  0.62692026  0.37437616  0.51674726
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[ 0.03114263]
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[ 0.36517837]
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[ 0.07184489]
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[ 0.11121119]
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[ 0.70393609]
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[ 0.29939654]
[ 0.19953152  0.56153832  0.40738962  0.65099518  0.48155437  0.788883
  0.39381757  0.53587481  0.55053184  0.53818571]
[ 0.15199122]
[ 0.62362722  0.58742601  0.5739317   0.41181785  0.33223603  0.54045207
  0.56192818  0.60053085  0.53753559  0.4249806 ]
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[ 0.40954368  0.63756363  0.38365205  0.51581871  0.32066301  0.48551108
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[ 0.25773235  0.62724404  0.39161761  0.64623233  0.35006668  0.64399336
  0.4662258   0.51199425  0.57364282  0.48913589]
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[ 0.60079107  0.67245743  0.40976202  0.49870156  0.36175716  0.56780114
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[ 1.1291997]
[ 0.63400529  0.75129549  0.41098782  0.5743142   0.2961559   0.4204502
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[ 1.01080297]
[ 0.63097657  0.54347735  0.60871809  0.48491123  0.42398276  0.51471149
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[ 0.22752756  0.47330721  0.50492926  0.54501891  0.47966658  0.63423971
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[ 0.04333423]
[ 0.39124476  0.53111373  0.47471954  0.56232178  0.35328458  0.57591595
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[ 0.52554238]
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[ 0.43302669]
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[ 0.38718677  0.49636212  0.53492513  0.34394677  0.44449913  0.59081103
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[ 0.44840562  0.68429196  0.35702165  0.58201147  0.36979864  0.61291053
  0.29148079  0.57495742  0.50861879  0.5922187 ]
[-0.16113708]
[ 0.6661298   0.52994647  0.55778334  0.47668737  0.41725814  0.329676
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[ 0.566885]
[ 0.21508668  0.56856746  0.51119214  0.53068734  0.57309128  0.67411612
  0.34967363  0.34668113  0.38688995  0.67488793]
[-0.3213011]
[ 0.70913915  0.31122357  0.63086218  0.47364609  0.56790653  0.53435868
  0.53622321  0.6022525   0.3629439   0.36223168]
[-0.90674664]
[ 0.45831346  0.79401636  0.37478576  0.5650299   0.22817753  0.55190575
  0.46142079  0.53322284  0.67446368  0.57335109]
[-0.13919567]
[ 0.39491452  0.19414331  0.74514159  0.30566158  0.50347768  0.68106245
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[-0.41067679]
[ 0.34273844  0.62639572  0.50771321  0.59189477  0.38703928  0.62397323
  0.45420401  0.53455525  0.45089252  0.48658811]
Progress: 59.1% ... Training loss: 0.309 ... Validation loss: 0.487[-0.51696567]
[ 0.68572951  0.64459644  0.51618036  0.42198937  0.36569562  0.44890232
  0.49983292  0.45962814  0.56476154  0.54433981]
[-0.17167626]
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[-0.01358083]
[ 0.41357799  0.69436471  0.48225124  0.55763972  0.41930138  0.68930499
  0.57361005  0.58988667  0.52060878  0.48105826]
[ 0.23163418]
[ 0.33575926  0.42878588  0.53608916  0.3233596   0.44588121  0.45952665
  0.36363633  0.4305966   0.42870335  0.32036193]
[-1.4436342]
[ 0.4528445   0.58371846  0.51666381  0.4512386   0.28914627  0.35446568
  0.48625763  0.57934533  0.5456842   0.34706015]
[ 0.15521406]
[ 0.44072289  0.49262974  0.45335348  0.4458939   0.40952924  0.36057174
  0.43121918  0.45281396  0.56153941  0.37901286]
[-0.4767032]
[ 0.27783317  0.48496828  0.62136566  0.44784942  0.40065934  0.62784719
  0.4451394   0.35398785  0.44898554  0.39088877]
[ 0.40016721]
[ 0.32127379  0.21748248  0.70758276  0.37424633  0.54944403  0.46613399
  0.45113092  0.4533548   0.28295697  0.5769247 ]
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[ 0.30555659  0.57383354  0.42173997  0.61121864  0.46190044  0.57083872
  0.55528243  0.56550322  0.43270087  0.45114945]
[-0.16894171]
[ 0.44119312  0.47609163  0.49833515  0.63286028  0.52912695  0.58822231
  0.3953045   0.52485336  0.40150839  0.42692811]
[ 1.44639533]
[ 0.7121978   0.52722625  0.61006585  0.33028416  0.30556261  0.34670571
  0.54482192  0.75197543  0.59340352  0.33393167]
[ 0.14809385]
[ 0.26656527  0.37121913  0.60703863  0.51762282  0.45013225  0.78262706
  0.42541476  0.49193511  0.32230386  0.40843413]
[-0.40805223]
[ 0.40688696  0.63614486  0.50207059  0.60134673  0.51767812  0.55503239
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[-0.1646767]
[ 0.34092338  0.3619521   0.64579583  0.44300211  0.41558285  0.7482499
  0.37220584  0.44457213  0.38229774  0.4803067 ]
[-0.42793057]
[ 0.7767344   0.61520893  0.59447292  0.36710084  0.45823782  0.45730368
  0.61466874  0.5134771   0.64013976  0.45262934]
[-0.15928601]
[ 0.39906543  0.75382077  0.46865783  0.60348555  0.45456255  0.70093036
  0.53676248  0.41095299  0.64259418  0.61105508]
[-0.44794905]
[ 0.55952141  0.81379884  0.45513938  0.61438196  0.32989203  0.72159048
  0.48586755  0.5337413   0.60562081  0.68890381]
[ 1.70912446]
[ 0.79291723  0.53670628  0.54534575  0.29573603  0.22301933  0.31351475
  0.51736476  0.67041298  0.62018111  0.30442913]
[-0.24940254]
[ 0.41012001  0.68722686  0.4070888   0.70559174  0.27072364  0.46995332
  0.51978186  0.69657204  0.53865769  0.54096427]
[ 1.22841529]
[ 0.65086728  0.41936087  0.60589392  0.35420198  0.41003488  0.47112664
  0.41718019  0.42812158  0.49531301  0.45721222]
[ 0.43176687]
[ 0.1333849   0.5763682   0.43046736  0.67706854  0.48914875  0.69304103
  0.37167797  0.35505357  0.36113432  0.50249815]
[-0.02761256]
[ 0.67736289  0.5625455   0.56802588  0.21300618  0.34801014  0.3263376
  0.60733814  0.53108333  0.65460134  0.37928839]
[ 0.28938265]
[ 0.71890643  0.53493199  0.51533935  0.39328375  0.33250875  0.270004
  0.47223348  0.44030852  0.56959923  0.42965843]
[ 0.46583091]
[ 0.46214819  0.69059336  0.42830864  0.68955569  0.27808266  0.51805887
  0.49014884  0.46227187  0.61587484  0.53298462]
[ 0.1588257]
[ 0.42243475  0.54321708  0.44943544  0.50602938  0.49437547  0.64522596
  0.44754629  0.50888684  0.47597817  0.49550617]
[-0.30819691]
[ 0.35442118  0.48243445  0.45397258  0.56801343  0.40325094  0.62543563
  0.43806149  0.50650358  0.33409816  0.38598159]
[-0.24892014]
[ 0.35809433  0.56956655  0.44613706  0.43495864  0.39450789  0.72074691
  0.34538583  0.52928577  0.4360749   0.51873993]
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[ 0.20345016]
[ 0.52167693  0.59539107  0.51303757  0.46812113  0.45244051  0.46443991
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[-0.36458586]
[ 0.32649658  0.58352566  0.37658513  0.63512775  0.40702901  0.43324156
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[ 1.21722615]
[ 0.55370906  0.66314282  0.39033095  0.41174255  0.29543283  0.24219892
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[ 0.11168465]
[ 0.227115    0.49792063  0.44270501  0.63622089  0.4114315   0.75078905
  0.30310969  0.4854067   0.44296095  0.50869123]
[-0.49295134]
[ 0.76119777  0.41120271  0.61366884  0.29106671  0.46587546  0.56714105
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[ 0.70868997  0.61986454  0.47867608  0.31682237  0.33853293  0.29729114
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[ 0.07632664]
[ 0.22337768  0.60991276  0.39372159  0.68042232  0.43280663  0.57362172
  0.32474304  0.36552327  0.47560345  0.51753105]
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[ 0.5761036   0.51860581  0.53638943  0.5195406   0.53423749  0.49666514
  0.44430526  0.46140665  0.47085347  0.53946675]
[ 0.3662935]
[ 0.50478675  0.58279918  0.44259002  0.39212055  0.31851723  0.37601718
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[-0.08892605]
[ 0.46170031  0.76440665  0.44020167  0.60254754  0.45147567  0.71737632
  0.45752314  0.47965056  0.50629883  0.69882167]
[-0.42859561]
[ 0.78364808  0.58847663  0.54676066  0.42730379  0.2163782   0.34340455
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[ 0.74681046  0.43684732  0.60746699  0.3035014   0.39622919  0.43638219
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[ 0.48621]
[ 0.24213488  0.42116307  0.6080979   0.60889615  0.42905305  0.54125426
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[ 0.28917875  0.49812112  0.56887928  0.43892792  0.43159006  0.5163926
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[-1.27395847]
[ 0.52828732  0.75142868  0.54007379  0.49482187  0.32796307  0.48019907
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[ 0.35676506  0.60839786  0.46483867  0.55538515  0.46195874  0.60677156
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[ 0.07266472]
[ 0.21927599  0.39587251  0.59981645  0.50906352  0.4207211   0.61699703
  0.38574341  0.42270308  0.40728084  0.44934325]
[ 1.02613703]
[ 0.48769955  0.61079827  0.43047451  0.54235809  0.34621103  0.3502925
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[ 0.17720274]
[ 0.27251092  0.75532397  0.43146134  0.61171189  0.47865016  0.70695347
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[ 0.55253361]
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[ 0.30752046]
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[ 0.34149682  0.43971589  0.62200476  0.31676133  0.49543952  0.48562719
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[ 0.33140367]
[ 0.72189927  0.48208081  0.58526364  0.25199703  0.38099917  0.36346298
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[ 0.82409402  0.75909077  0.5370501   0.28921841  0.39038301  0.4511842
  0.65002812  0.58329745  0.70625611  0.54079479]
Progress: 59.4% ... Training loss: 0.309 ... Validation loss: 0.489[-0.26762541]
[ 0.30681577  0.77455414  0.30900738  0.66825697  0.36603614  0.50144351
  0.43642105  0.37371568  0.6164847   0.56676216]
[ 0.1045994]
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[ 0.53479458]
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[ 1.03333104]
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[ 0.12611744]
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[ 0.17789159]
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[ 0.17584431]
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[ 0.40566013]
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[ 0.16707057]
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[ -9.28663571e-05]
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[ 0.56158369]
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[ 0.276059]
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[ 0.54549301]
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[ 0.05738145]
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[ 1.1090149]
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[ 1.55339021]
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[ 0.24976733]
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[ 0.36930969]
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[ 0.34718225]
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[ 0.24197694  0.51775286  0.47347681  0.45674902  0.44802536  0.58220744
  0.39035797  0.4371182   0.53841837  0.4357574 ]
[ 0.18699243]
[ 0.48274799  0.35503019  0.58137983  0.4623307   0.56587088  0.63837254
  0.48636746  0.39186621  0.30521642  0.45285433]
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[ 0.57085058  0.61797367  0.56505914  0.39861012  0.38861129  0.43290799
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[-0.90391867]
[ 0.44290229  0.66592138  0.44900588  0.30978831  0.28265828  0.35328561
  0.46342802  0.70972102  0.61967498  0.30301086]
Progress: 59.7% ... Training loss: 0.341 ... Validation loss: 0.528[-0.65158727]
[ 0.55755511  0.26180722  0.55711149  0.41518113  0.32332895  0.50248372
  0.43463223  0.498135    0.31629304  0.31410598]
[ 0.46775582]
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[ 0.30421561]
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[ 0.84749137]
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[ 0.89379107]
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[ 1.31849112]
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[ 1.71754973]
[ 0.67205003  0.55940844  0.38811859  0.53294109  0.31932923  0.46846904
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[ 0.38557284  0.61806946  0.48205842  0.53586971  0.40666342  0.3334488
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[ 0.1651651]
[ 0.57004225  0.60041458  0.49201768  0.60737401  0.35275641  0.53944616
  0.54688613  0.60026099  0.57695736  0.44339837]
Progress: 60.0% ... Training loss: 0.312 ... Validation loss: 0.485[-0.46286927]
[ 0.76897368  0.60202636  0.48148136  0.47718383  0.25401922  0.36555735
  0.47826943  0.535454    0.57304428  0.4697296 ]
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[ 0.19707307]
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[ 0.3003288]
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[ 0.02698419]
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[ 0.18721151]
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[ 0.00148786]
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[ 1.04033965]
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[ 0.04997335]
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[ 0.09457997]
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[ 1.17350274]
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[ 1.06415197]
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[ 0.07270997]
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[ 1.85602769]
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[ 0.58792067]
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[ 0.69418143]
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[ 0.00939976]
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[ 0.39688679]
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[ 0.19844546]
[ 0.26051372  0.58211002  0.4373131   0.61672763  0.44111927  0.736929
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[ 0.0052327]
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[ 0.24451356]
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[ 0.29104878]
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[ 1.73661289]
[ 0.79404404  0.39755163  0.68419121  0.2096562   0.35322588  0.3379069
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[ 0.16355877]
[ 0.59385589  0.59045122  0.50589324  0.40143094  0.35211509  0.37582898
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[ 0.06400238]
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[ 0.03770754]
[ 0.16742352  0.58178669  0.40022572  0.57190902  0.38680612  0.6326043
  0.28164896  0.47740038  0.43033076  0.46405929]
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[ 0.20182745  0.68066512  0.35593182  0.59513932  0.35110766  0.50558978
  0.45687618  0.53437704  0.51943461  0.71967043]
[ 1.68498595]
[ 0.65314748  0.48453379  0.5783607   0.30027262  0.32691526  0.28483176
  0.48155315  0.46685013  0.51259164  0.31702241]
[ 0.44819996]
[ 0.1621861   0.5675338   0.49792727  0.54169056  0.52644462  0.67280245
  0.41005559  0.27031918  0.40730472  0.58442793]
[-0.76595974]
[ 0.27027953  0.62267109  0.47983204  0.54919488  0.37847621  0.62652391
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[ 0.61711701  0.55086512  0.54515817  0.53050025  0.36023692  0.52960282
  0.4985029   0.6487595   0.59518351  0.43008478]
Progress: 60.3% ... Training loss: 0.309 ... Validation loss: 0.490[ 0.29213154]
[ 0.65892855  0.55413398  0.56704575  0.49500953  0.29920762  0.50150116
  0.41518739  0.45020196  0.61454262  0.5306181 ]
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  0.47464169  0.64207459  0.47338551  0.32131264]
[ 1.01684657]
[ 0.62146857  0.6187075   0.55359759  0.31365818  0.38438774  0.43026984
  0.51411083  0.41931227  0.63724986  0.49755112]
[ 2.0209293]
[ 0.55107638  0.62377417  0.40701765  0.55955448  0.31087565  0.315315
  0.61221949  0.68710934  0.65515755  0.19109227]
[ 0.10413252]
[ 0.45881753  0.48152412  0.61044517  0.4896832   0.32537934  0.57710148
  0.47278597  0.56568082  0.52179098  0.40925578]
[ 0.24723905]
[ 0.54976409  0.53288516  0.6232881   0.20572325  0.33928912  0.32103696
  0.57812102  0.64085875  0.60876468  0.29579322]
[ 0.047925]
[ 0.61170207  0.74042991  0.45241749  0.40473674  0.35862983  0.38904232
  0.51655479  0.50313502  0.69463805  0.61903226]
[ 0.1043888]
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  0.44575206  0.22235616  0.40671527  0.42273895]
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  0.4776663   0.58011369  0.51814445  0.4190074 ]
[ 0.95565195]
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[-0.30274652]
[ 0.59226444  0.5263133   0.52731887  0.5013031   0.427393    0.54528269
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[ 0.2610785]
[ 0.28377773  0.58927001  0.34161516  0.66106096  0.3619993   0.71445691
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[ 0.42252173  0.63717761  0.406361    0.51256338  0.33590149  0.5720386
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[ 1.86621245]
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[ 0.42149544]
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  0.3945032   0.48527582  0.47148759  0.46341402]
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[ 0.38046093]
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[ 0.0399267]
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[ 0.53377687]
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[ 0.57341045]
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[ 0.38449912]
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[ 0.59435045]
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[ 0.15106501]
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[ 0.93695637]
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[ 0.34075076]
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[ 0.01216124]
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[ 0.15340848]
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[ 0.32781195]
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[ 0.35955021]
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[ 1.51111264]
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[ 0.05032873]
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[ 0.996847]
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[ 0.62197931]
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[ 1.4533563]
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[ 0.71087892]
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[ 1.89273565]
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[ 0.26365021]
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[ 1.4910817]
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[ 0.08862607]
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[ 0.2026147]
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[ 2.01093644]
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[ 0.30319346]
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[ 0.20172952]
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[ 1.02115783]
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[ 0.11703418]
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[ 0.28366514]
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[ 0.34705437]
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[ 0.46850415]
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[ 0.20090617]
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[ 0.52153079]
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[ 0.07935952]
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[ 0.08758043]
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[ 0.32358701]
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[ 0.21138293]
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[ 0.25742588]
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[ 0.31357716]
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[ 0.88945678]
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[ 0.12849352]
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[ 0.41104476  0.67119103  0.48703936  0.47622172  0.35716052  0.45391294
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[ 0.33714301]
[ 0.51298943  0.7163836   0.44651111  0.43617173  0.31440035  0.49622568
  0.5648241   0.74971241  0.6209183   0.36769849]
[-0.25472893]
[ 0.3503291   0.65538962  0.52433895  0.53441396  0.42075566  0.61909335
  0.39891002  0.35671603  0.5089243   0.51115515]
[ 0.08673377]
[ 0.48297178  0.65971469  0.48181941  0.60715244  0.47005698  0.7043972
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[ 0.80894004  0.52951079  0.53362342  0.47703317  0.24115866  0.2204481
  0.6143156   0.64913891  0.63106719  0.35555742]
Progress: 60.6% ... Training loss: 0.347 ... Validation loss: 0.503[-0.24168555]
[ 0.44939331  0.53049907  0.52690495  0.51699934  0.45437839  0.58655322
  0.47103729  0.60271367  0.56339193  0.44611392]
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[ 0.17653591]
[ 0.36066065  0.66903471  0.54739571  0.37629715  0.35628122  0.57728368
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[ 0.48100249]
[ 0.61125687  0.54790597  0.49021358  0.51096244  0.30733249  0.41203862
  0.44576318  0.61202928  0.54801713  0.41568937]
[ 0.41013912]
[ 0.16621748  0.53655089  0.33955971  0.61232898  0.4803094   0.73244769
  0.37621298  0.38192372  0.3028476   0.5554945 ]
[-0.16285594]
[ 0.35267052  0.62536484  0.56589716  0.51365044  0.40956957  0.49325436
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[-1.00978178]
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[ 0.02551596]
[ 0.69487849  0.78882467  0.45710327  0.54260443  0.43008751  0.37485778
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[ 0.04658335]
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[-0.25211444]
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  0.40514966  0.49673884  0.45680726  0.61310326]
[ 1.53635909]
[ 0.7520417   0.5244177   0.60336908  0.21081856  0.2795761   0.27357036
  0.67365083  0.78448051  0.59172306  0.22135123]
[-0.26016001]
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  0.47946611  0.48149487  0.6468394   0.74808449]
[ 0.14974668]
[ 0.26995763  0.55162314  0.55170417  0.5797886   0.51884501  0.74779824
  0.44374671  0.38683341  0.416123    0.60426529]
[ 0.42529921]
[ 0.47999936  0.6951014   0.46748846  0.51416995  0.26243905  0.44906304
  0.42202559  0.58286225  0.52655047  0.54039055]
[-0.55736216]
[ 0.51880408  0.5415133   0.56216793  0.26610418  0.48984249  0.56333779
  0.48943879  0.64054357  0.53752179  0.52745572]
[-1.0290957]
[ 0.55726001  0.69371574  0.4494198   0.47974096  0.28707046  0.60472058
  0.43826651  0.44017116  0.65113759  0.56164218]
[ 0.09264954]
[ 0.55695417  0.57712369  0.54700899  0.45110577  0.32257472  0.53736263
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[-0.32782441]
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[ 0.61476878  0.55402505  0.47375518  0.59934551  0.37226863  0.3589725
  0.63649039  0.64080976  0.51411965  0.62775857]
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  0.53509298  0.70925614  0.61657058  0.36977183]
[ 0.90699215]
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[ 0.33455662  0.60147173  0.46110515  0.6186278   0.38099017  0.58310635
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[ 0.516895]
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[ 0.62101698  0.60481734  0.52982568  0.3184426   0.45755275  0.44436992
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[ 0.55387498]
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[ 1.3163448]
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[ 0.16371404]
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[ 0.72093913]
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[ 0.0079956]
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[ 0.13930857]
[ 0.23355838  0.55349594  0.63048357  0.42396457  0.53964603  0.69491994
  0.44195925  0.33400063  0.41725015  0.54079539]
[ 0.3475527]
[ 0.36963004  0.70276873  0.50711547  0.72893692  0.3896424   0.6998475
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[-0.71517811]
[ 0.50476607  0.62711957  0.574951    0.51176285  0.45408756  0.59911265
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[ 0.55851729]
[ 0.14278435  0.6202166   0.55038564  0.6612942   0.33844652  0.78465411
  0.29123871  0.35438275  0.43868269  0.59289401]
Progress: 60.9% ... Training loss: 0.387 ... Validation loss: 0.568[-0.03051783]
[ 0.38664876  0.53855766  0.62737284  0.30444959  0.38703123  0.67766697
  0.4759031   0.43852783  0.44337594  0.53048557]
[ 0.24170101]
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[ 0.24111776]
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[ 0.38984029]
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[ 0.2488097]
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[ 0.38108741]
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[ 1.16749394]
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[ 0.31539277]
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[ 0.26991537]
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[ 0.45209612]
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[ 0.35310135]
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[ 0.39085588]
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[ 0.17830266]
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[ 0.23761403  0.47314114  0.64396128  0.38619806  0.38623621  0.62442456
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[ 0.21362083]
[ 0.59181731  0.70343782  0.41900604  0.60099601  0.29482889  0.31734686
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[ 0.12523616]
[ 0.27134842  0.41341222  0.44577347  0.63195732  0.40673819  0.70692316
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[ 0.45058561]
[ 0.21990982  0.39717892  0.57639505  0.60714046  0.35563983  0.74438179
  0.37917478  0.47205317  0.40900944  0.38779524]
Progress: 61.1% ... Training loss: 0.356 ... Validation loss: 0.509[ 0.24500554]
[ 0.67253539  0.62449465  0.50523962  0.37015479  0.39243878  0.31266243
  0.56169572  0.57318118  0.64160798  0.35961778]
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[ 0.15232044]
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[ 0.3166326]
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[ 0.11952432]
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[ 1.20663841]
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[ 0.05271811]
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[ 0.12409903]
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[ 0.18902977]
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[ 0.10202747]
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[ 0.51168384]
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[ 1.14487884]
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[ 0.31312435  0.31949153  0.6577769   0.32257487  0.49121778  0.57395133
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[ 0.06261587]
[ 0.20847437  0.74012038  0.41045671  0.59806119  0.50110773  0.6883546
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[ 0.23926616]
[ 0.39624038  0.48833578  0.58730356  0.42044262  0.47036389  0.39723184
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[ 0.42305458  0.74609905  0.42950003  0.59894516  0.33892724  0.65512686
  0.49074012  0.47787313  0.67004553  0.60379852]
Progress: 61.4% ... Training loss: 0.363 ... Validation loss: 0.538[ 0.70979139]
[ 0.53986593  0.71467293  0.5089384   0.50973432  0.36545845  0.54044943
  0.59867452  0.58091024  0.60722818  0.53660528]
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[ 0.42980032]
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[ 0.34448704]
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[ 0.21688492]
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[ 0.08767485]
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[ 0.17999812]
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[ 0.5613526]
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[ 1.17943917]
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[ 0.73944339]
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[ 0.64116174]
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[ 0.51082846]
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[ 1.10085085]
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[ 0.01512277]
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[ 0.84779915]
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[ 0.46315573]
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[ 1.71625121]
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[ 0.26441681]
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[ 1.41482314]
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[ 1.00089362]
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[ 0.14104151]
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[ 0.19004029]
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[ 0.16763407]
[ 0.52668986  0.49001528  0.58842003  0.44913848  0.40809219  0.36070691
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[ 0.04000794]
[ 0.48261145  0.50559441  0.49924594  0.32318438  0.44520065  0.65847187
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[ 1.41105411]
[ 0.63189805  0.61864097  0.44815721  0.51817589  0.34018777  0.37170082
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  0.44503657  0.52629307  0.61808249  0.40061816]
Progress: 61.7% ... Training loss: 0.311 ... Validation loss: 0.478[-1.41553044]
[ 0.51905052  0.41793608  0.55825808  0.40979598  0.35146438  0.42404794
  0.48645051  0.72426102  0.54447552  0.25948391]
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[ 0.44607853]
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[ 0.00547068]
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[ 0.23363242]
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[ 0.11177786]
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[ 0.86843518]
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[ 0.36182882]
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[ 0.90559219]
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[ 0.21795519]
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[ 0.27003471]
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[ 0.63999558]
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[ 0.32346818]
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[ 0.02266344]
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[ 0.03184881]
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[ 0.22812689]
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[ 0.05754158]
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[ 0.31806216]
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[ 0.09031909]
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[ 0.39843636  0.61969992  0.41542669  0.57063262  0.41089961  0.49860149
  0.35963994  0.4904302   0.48269168  0.66714506]
[ 0.04696079]
[ 0.56095457  0.56998076  0.56525443  0.61948618  0.40974798  0.4190834
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[-0.38062723]
[ 0.3787749   0.64021858  0.40625985  0.68938119  0.41545424  0.5648024
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[ 0.74698293  0.50229304  0.56496902  0.36637649  0.44328434  0.38184682
  0.49426235  0.48096351  0.49766017  0.51104032]
Progress: 62.0% ... Training loss: 0.359 ... Validation loss: 0.537[-0.0048841]
[ 0.34464802  0.53303892  0.54932013  0.51662568  0.39241706  0.70356357
  0.3480686   0.42224405  0.41927534  0.52558162]
[ 0.23234673]
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[ 0.80726203]
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[ 0.31768306]
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[ 0.40408019]
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[ 1.15878061]
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[ 0.23444494]
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[ 0.59542521]
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[ 0.72019651]
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[ 0.28963094]
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  0.45488763  0.54925039  0.4636893   0.58187988]
[ 0.37518118]
[ 0.31094383  0.44612465  0.68439818  0.35113063  0.53879518  0.58658326
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[ 0.7916931]
[ 0.40984389  0.53464345  0.54312007  0.50298146  0.35066088  0.63694034
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[ 0.2066751]
[ 0.27786249  0.48423836  0.57265108  0.41637978  0.56225257  0.55427011
  0.4099728   0.34532608  0.51034626  0.4684034 ]
Progress: 62.3% ... Training loss: 0.317 ... Validation loss: 0.489[-1.27798674]
[ 0.84442551  0.71607258  0.56418347  0.32482194  0.39560386  0.56836697
  0.62591011  0.56172784  0.68832425  0.60076745]
[ 0.15832413]
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[ 0.34226925]
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[ 1.00134303]
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[ 1.41685437]
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[ 0.24199885]
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[ 0.58892042]
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[ 0.20676366]
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[ 0.03760765]
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[ 0.15722929]
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[ 1.4920146]
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[ 1.14907538]
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[ 0.74713955]
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[ 0.15931905]
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[ 0.9431226]
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[ 1.60805604]
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[ 0.55397069]
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[ 0.12369198]
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[ 0.04896596]
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[ 0.12432527]
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[ 0.05550634]
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[ 0.23738339]
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[ 0.40653479]
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[ 0.2118384]
[ 0.33541741  0.40818355  0.5969236   0.31490397  0.48663661  0.5485207
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[ 0.00650935]
[ 0.46348463  0.65001007  0.47279844  0.52207253  0.39971716  0.47665612
  0.50495234  0.47297853  0.56483949  0.54224972]
[ 0.49205764]
[ 0.47101995  0.57799402  0.45338964  0.5562688   0.27902949  0.47895768
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[-0.94798602]
[ 0.61743531  0.56229066  0.5217457   0.430481    0.44390952  0.65248689
  0.52064158  0.50081815  0.5338      0.50776832]
[ 0.03325627]
[ 0.2124469   0.58910619  0.53312063  0.61142836  0.48254656  0.67509409
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[-0.66984313]
[ 0.44003181  0.4811208   0.65330556  0.30422283  0.48110649  0.53485772
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[ 0.0696345]
[ 0.35805089  0.73621042  0.45113788  0.60905938  0.55118258  0.69477567
  0.33311722  0.51287826  0.50353652  0.69448296]
Progress: 62.6% ... Training loss: 0.309 ... Validation loss: 0.490[-0.21194597]
[ 0.464534    0.58307379  0.45358012  0.47195391  0.33786689  0.47047275
  0.57462319  0.49144337  0.50835007  0.51827268]
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  0.46869055  0.53064789  0.48794727  0.44638404]
[ 0.02288625]
[ 0.29188117  0.52595996  0.58118657  0.4761523   0.4402273   0.61904144
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  0.4777774   0.52472721  0.42441287  0.37495645]
[ 0.06214378]
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[ 0.4322097]
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  0.3338365   0.31687357  0.36960847  0.46789333]
[ 0.11053056]
[ 0.36876419  0.52495302  0.50170515  0.45637429  0.56805051  0.74179034
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[ 0.39515966]
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[ 0.87305229]
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[ 0.53384031]
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[ 0.22890991]
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[ 0.12293255]
[ 0.30274011  0.26251978  0.57969488  0.34600061  0.54113993  0.48166527
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[ 1.12719286]
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[ 0.18869906]
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  0.4395614   0.35605044  0.29062401  0.54579335]
[-0.0042791]
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[ 0.00420472]
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[ 0.19256281]
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[ 0.14756247]
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[ 0.05987921]
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[ 0.29903526]
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[-1.00082219]
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[ 0.01883899]
[ 0.17835855  0.50763871  0.59534384  0.64362335  0.37451174  0.72789765
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[-0.47090139]
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[ 0.19769443]
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[ 0.19475596]
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[ 0.16883353]
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[ 0.11613721]
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[ 1.05161465]
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[ 0.21942973]
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[ 2.02687146]
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[ 0.82121597]
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[ 0.08063099]
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[ 0.55555673]
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[ 0.35976585]
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[ 0.11051161]
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[ 0.24058481]
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[ 1.01736933]
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[ 0.08168967]
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[ 0.03817905]
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[ 2.27617047]
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[ 0.19079711]
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[ 1.20303612]
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[ 0.0732357]
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[ 0.16836482]
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[ 0.17724268]
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[ 0.27149765]
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[ 0.13813445]
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[ 0.67349993]
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[ 1.34188266]
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[ 0.40703085]
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[ 0.01890722]
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[ 0.04876515]
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[ 0.58795176]
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[ 0.30542002]
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[ 0.0524586]
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[ 0.32281035  0.71992245  0.43192145  0.52988254  0.42857217  0.64534459
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[-1.25677619]
[ 0.48912744  0.28195925  0.74715849  0.25362613  0.48098925  0.40151449
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[ 0.50852359]
[ 0.36246196  0.70135498  0.50475434  0.72916537  0.38933754  0.70441113
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[ 0.24527553]
[ 0.64311021  0.7223543   0.340937    0.5171443   0.25813846  0.4312533
  0.41965562  0.46679304  0.56985123  0.55990947]
Progress: 62.9% ... Training loss: 0.309 ... Validation loss: 0.489[ 0.5656069]
[ 0.59875485  0.49877419  0.54986021  0.48322879  0.43346301  0.4310906
  0.49605856  0.44546099  0.50185422  0.48072718]
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[ 0.92305899]
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[ 0.70337821]
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[ 2.23500181]
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[ 0.90034791]
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[ 0.04212221]
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[ 0.02659116]
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[ 1.1722875]
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[ 0.37215544]
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[ 0.06168114]
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[ 0.15068508]
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[ 0.09496461]
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[ 0.71204828]
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[ 0.23730858]
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[ 0.01817727]
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[ 0.37394734]
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[ 1.13526085]
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[ 0.09968402]
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[ 0.56874571]
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[ 0.01483894]
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[ 0.4107305   0.52289281  0.55183893  0.46202817  0.51337024  0.53499723
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[ 0.42068337]
[ 0.20846654  0.4794458   0.62122303  0.33969164  0.56151243  0.74907449
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[ 0.36176328  0.74404039  0.40733375  0.54451019  0.29165837  0.71472849
  0.41006589  0.4891723   0.59904455  0.6784465 ]
Progress: 63.1% ... Training loss: 0.309 ... Validation loss: 0.491[ 0.29097757]
[ 0.10918549  0.64854712  0.41487311  0.63675991  0.38820285  0.74400894
  0.41013108  0.38515585  0.61223137  0.58472593]
[ 0.07327883]
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[ 0.26646508]
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[ 0.35824388]
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[ 0.18020565]
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[ 0.05227857]
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[ 0.34171995]
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[ 0.06315953]
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[ 1.52568434]
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[ 0.06989617]
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[ 0.55220423]
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[ 0.00434425]
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[ 2.22721788]
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[ 2.63127993]
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[ 1.47306534]
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[ 0.22813635]
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[ 0.33241851]
[ 0.62517483  0.66888239  0.489169    0.35065385  0.27918462  0.48557244
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[ 0.41861746  0.70741254  0.51444479  0.70693126  0.51922165  0.71525342
  0.44672192  0.47642013  0.596614    0.6053455 ]
[ 0.99487168]
[ 0.63957489  0.60955235  0.50914349  0.37894969  0.4107369   0.29458332
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[ 0.70788436  0.54335204  0.53489777  0.47671737  0.37950342  0.3580292
  0.41079397  0.40572097  0.54693806  0.50958127]
Progress: 63.4% ... Training loss: 0.305 ... Validation loss: 0.478[ 0.13276173]
[ 0.43705607  0.30291419  0.62346018  0.25612365  0.4805951   0.59287718
  0.43258462  0.36539449  0.30001066  0.38699912]
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[ 0.14572564]
[ 0.25718714  0.68800733  0.37499038  0.60397991  0.45245169  0.766035
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[ 0.2232571]
[ 0.39726702  0.58633581  0.62679327  0.4776462   0.53710015  0.70508768
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[ 0.20088425]
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[ 0.37499626]
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[ 0.82964785]
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[ 0.87246244]
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[ 0.10615356]
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[ 0.32423014  0.60070365  0.47980476  0.43162985  0.41744331  0.52844163
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[ 0.39357026  0.18498683  0.76111932  0.23321355  0.49868595  0.47731256
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[ 0.14753644]
[ 0.26035438  0.53039332  0.55681386  0.57356314  0.39358898  0.73124087
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[ 0.37783113  0.41033775  0.6349292   0.46859368  0.52153153  0.51228033
  0.38534143  0.38474777  0.48423587  0.3590391 ]
Progress: 63.7% ... Training loss: 0.306 ... Validation loss: 0.480[-0.08178672]
[ 0.18853101  0.5038822   0.44464435  0.5942037   0.45947479  0.69588389
  0.4187725   0.5735929   0.41612506  0.39997556]
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[ 0.41861403]
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[ 0.13885393]
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[ 0.53983692]
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[ 0.19677979]
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[ 0.3717032]
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[ 0.14387033]
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[ 0.23711707]
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[ 0.55177432]
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[ 0.04429253]
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[ 0.07128355]
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[ 1.51087085]
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[ 0.25027303]
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[ 0.80418423]
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[ 0.41213665]
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[ 1.37131261]
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[ 0.35883574]
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[ 0.37129969]
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[ 0.91755852]
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[ 0.14083658]
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[ 0.00029945]
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[ 0.36587885]
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[ 0.0861705]
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[ 0.32950718]
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[ 1.19976802]
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[ 0.22660533]
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[ 0.25987406]
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[ 1.14585083]
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[ 0.28135981]
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[ 0.23996602]
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[ 0.27461545  0.72324994  0.37296677  0.58094933  0.34918086  0.60611174
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[ 0.54574596  0.51040572  0.58857767  0.37383704  0.4786315   0.514058
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[ 0.33624309  0.59256747  0.46190129  0.42945528  0.33717031  0.49416144
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[ 0.53118456  0.71476533  0.4403602   0.6203932   0.19847436  0.41290083
  0.39192449  0.50837512  0.58145625  0.41364764]
Progress: 64.0% ... Training loss: 0.310 ... Validation loss: 0.477[ 0.22569101]
[ 0.33438439  0.58688739  0.45289052  0.57361982  0.41156652  0.62784462
  0.41038102  0.63227439  0.64747397  0.45587536]
[ 0.01879634]
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[ 0.78644289]
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[ 1.27583896]
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[ 0.2486858]
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[ 1.12076857]
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[ 0.35809318]
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[ 0.100988]
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[ 0.08284486]
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[ 0.43877764]
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[ 1.15248635]
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[ 0.01532248]
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[ 1.09688353]
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[ 0.22227019]
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[ 0.68785092]
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[ 0.0721642]
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[ 0.59707376]
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[ 0.01621456]
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[ 0.01893127]
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[ 0.19184901]
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[ 0.01545397]
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[ 1.10986365]
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[ 0.23086625]
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[ 0.2333988]
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[ 0.06890054]
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[ 0.44563668]
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[ 0.14265635]
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[ 0.62632801]
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[ 0.37280305]
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[ 0.13741516]
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[ 0.17398675]
[ 0.37614227  0.65205527  0.47806397  0.58172628  0.39236883  0.58037861
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[ 0.10520242]
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[ 0.19314352]
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[-0.63785207]
[ 0.5295771   0.69117775  0.4374029   0.49325055  0.29939177  0.64161169
  0.42135205  0.39525574  0.63252873  0.5959946 ]
[ 0.5077975]
[ 0.58565428  0.59145507  0.5008397   0.36888174  0.24638947  0.43481102
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[ 0.6747779   0.6911604   0.46582425  0.34861492  0.34345046  0.40033857
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[-0.27599399]
[ 0.48089855  0.35371571  0.52931207  0.40035264  0.48709782  0.56781198
  0.44110944  0.61080216  0.4498844   0.43182196]
Progress: 64.3% ... Training loss: 0.308 ... Validation loss: 0.471[ 0.02245711]
[ 0.39503338  0.47906043  0.5091145   0.37866693  0.52358031  0.68091514
  0.47567808  0.65893694  0.39164072  0.43746967]
[ 0.23755055]
[ 0.81028702  0.53706107  0.55038991  0.41292198  0.27627433  0.31015853
  0.4784252   0.44859065  0.54335665  0.43123984]
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  0.43213341  0.39935099  0.59104234  0.55345357]
[ 0.08439975]
[ 0.39483579  0.71676616  0.46437017  0.65953418  0.55574783  0.57314254
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[ 0.16616241]
[ 0.30051884  0.54367358  0.60650908  0.34816133  0.48042397  0.71482574
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[ 0.95149661]
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[ 0.06126938]
[ 0.19396468  0.54981522  0.44138797  0.67748085  0.35131694  0.78647758
  0.37699749  0.49120748  0.43772841  0.4839455 ]
[ 2.16954827]
[ 0.80970926  0.66556722  0.53339393  0.18172626  0.23540209  0.26733501
  0.59128104  0.72319101  0.64716591  0.34181472]
[ 1.6809464]
[ 0.7438378   0.5217913   0.5983541   0.21453737  0.28300426  0.28251923
  0.66802591  0.77041214  0.5854024   0.23014286]
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  0.50643935  0.55462675  0.54726996  0.4732413 ]
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[ 0.1410159]
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[ 0.3053264]
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  0.4910537   0.58598657  0.51443105  0.28516536]
[ 1.37226268]
[ 0.44083216  0.65769828  0.45375592  0.54743811  0.33435743  0.34004549
  0.51818339  0.71727047  0.70606219  0.27242214]
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[ 0.6949412   0.33124016  0.69394186  0.16061607  0.4380534   0.40322848
  0.53187852  0.67851024  0.50382722  0.28792854]
[ 1.9242828]
[ 0.63657441  0.46149302  0.616295    0.33521879  0.3566163   0.36755892
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[ 0.29514876]
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[ 0.43071608]
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[ 0.09864614]
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[ 0.54287419  0.58676393  0.44411098  0.40598353  0.36836429  0.56481547
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[ 1.12303159]
[ 0.61545578  0.51737488  0.57430341  0.34547407  0.3377938   0.31921081
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[ 0.48526431]
[ 0.18649966  0.64985422  0.5391142   0.56179125  0.37478554  0.81224562
  0.3483908   0.37296871  0.44738899  0.64935851]
Progress: 64.6% ... Training loss: 0.306 ... Validation loss: 0.478[ 0.15664612]
[ 0.32432863  0.66559648  0.46058356  0.64306944  0.37687857  0.68243376
  0.41370909  0.34733829  0.55814408  0.62722727]
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[ 0.36531267]
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[ 0.19941503]
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[ 0.50455509]
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[ 1.78730481]
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[ 0.3823815]
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[ 0.37774668]
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[ 1.38372191]
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[ 0.01243549]
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[ 0.51508009]
[ 0.18577794  0.34580236  0.65537512  0.52784723  0.45042615  0.77600601
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[ 0.36717174]
[ 0.16783622  0.49943593  0.51269921  0.59960492  0.45038647  0.67230909
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[ 0.78226088  0.49413144  0.58212481  0.29401661  0.42910362  0.54089246
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[ 0.3181699   0.79070912  0.30828074  0.70714152  0.3327426   0.68636575
  0.36013946  0.623502    0.53160886  0.6332345 ]
Progress: 64.9% ... Training loss: 0.309 ... Validation loss: 0.474[-0.49011486]
[ 0.38462761  0.68347499  0.48660882  0.52134297  0.36719673  0.58905294
  0.41355254  0.46983846  0.50950982  0.58002607]
[ 0.62639325]
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[ 0.37744393]
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[ 0.09065386]
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[ 0.06848616]
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[ 0.63703063]
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[ 0.44053894]
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[ 0.13308948]
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[ 0.14006063]
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[ 0.67162061]
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[ 0.96603434]
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[ 0.55006663]
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[ 0.07552925]
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[ 0.09808263]
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[ 0.31561307]
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[ 0.39627002]
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[ 0.09470556]
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[ 0.24302564]
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[ 1.49205238]
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[ 0.12660912]
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[ 1.65772815]
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[ 0.30550169]
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[ 1.31646758]
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[ 0.14429943]
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[ 0.50965524]
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[ 0.14365928]
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[ 0.39129074]
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[ 0.00370343]
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[ 0.25846045]
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[ 1.93318827]
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[ 0.80656624]
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[ 0.33840406]
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[ 0.03980323]
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[ 0.45269878]
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[ 1.11163962]
[ 0.70248035  0.72561009  0.54332368  0.40028622  0.29918005  0.29301819
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[ 1.4202025]
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[ 0.39313532  0.64458772  0.31604125  0.64730961  0.34085067  0.59572858
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[ 0.42884623]
[ 0.51623722  0.59471897  0.45358087  0.63387692  0.30503467  0.31759606
  0.42815212  0.45509806  0.64058641  0.44267386]
[ 0.1680781]
[ 0.21948485  0.34823929  0.67731864  0.35519757  0.52981711  0.64779556
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[-1.0994405]
[ 0.39944113  0.45035957  0.63006829  0.31487805  0.41432601  0.39763059
  0.51932212  0.49554076  0.48283768  0.3203718 ]
[-0.10554504]
[ 0.52463446  0.7122768   0.36819723  0.64236761  0.26733631  0.59558861
  0.4077716   0.47826335  0.59217496  0.63337119]
[ 0.48060302]
[ 0.17926184  0.45779946  0.53016265  0.53885472  0.4891332   0.7375265
  0.35719015  0.33516125  0.5073745   0.57734177]
[-0.00838896]
[ 0.3196448   0.712171    0.45433007  0.69821651  0.41891167  0.6469058
  0.33037752  0.53146325  0.54687551  0.59905595]
[-0.24406067]
[ 0.49761015  0.76230724  0.42734468  0.65081123  0.47056266  0.72379785
  0.43611065  0.50861453  0.57177561  0.68558028]
Progress: 65.1% ... Training loss: 0.306 ... Validation loss: 0.471[-0.09890648]
[ 0.37271698  0.7772204   0.42897512  0.56412122  0.38366297  0.70718294
  0.48164102  0.36339297  0.70994025  0.69489529]
[-0.69463922]
[ 0.38454388  0.71997691  0.38771187  0.53296496  0.37873294  0.63409067
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[ 0.16286013]
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  0.44961357  0.41421187  0.55679545  0.57887537]
[-0.11807245]
[ 0.24632492  0.20443272  0.72260381  0.24544238  0.56018032  0.54631395
  0.48038772  0.40773456  0.31730065  0.32404769]
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  0.50998465  0.48532488  0.48169321  0.47650829]
[ 0.32226922]
[ 0.20822876  0.37659142  0.6540863   0.3990156   0.49908009  0.8008953
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[-1.44661017]
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  0.40783679  0.48390378  0.5027421   0.36042136]
[ 0.02916082]
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[-0.39674513]
[ 0.47765486  0.41785996  0.57899464  0.29307217  0.45746084  0.61659896
  0.3799966   0.5788084   0.48026562  0.43694772]
[ 0.09328605]
[ 0.13779978  0.39961428  0.54955845  0.63960515  0.4714246   0.68213486
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[ 0.37975602]
[ 0.47166049  0.68420806  0.46918172  0.61107254  0.34087725  0.55344442
  0.55823637  0.49271269  0.64728098  0.57858372]
[ 0.05647751]
[ 0.42708616  0.49097958  0.62119102  0.35585793  0.56530505  0.48802495
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[ 0.26019273]
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  0.42141119  0.39695472  0.42479105  0.58081619]
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[-1.00567946]
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  0.64746483  0.56128854  0.70442584  0.55445455]
[ 0.59324994]
[ 0.60689593  0.56916054  0.54695146  0.42305393  0.38719112  0.45456499
  0.4294627   0.54446202  0.61929405  0.54524034]
[ 1.19661764]
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  0.53098784  0.54919637  0.40806032  0.44647292]
[ 0.99749313]
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  0.39742649  0.43264511  0.58530303  0.5725216 ]
[ 0.13360531]
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  0.37937017  0.40335465  0.4396095   0.48192851]
[-0.70373474]
[ 0.65510445  0.79697003  0.51536573  0.3614904   0.39765878  0.55020003
  0.61129233  0.62997901  0.65827375  0.64830723]
[ 0.01599181]
[ 0.24735266  0.62480897  0.38571011  0.61363668  0.43909423  0.64683841
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[-0.25372436]
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[ 0.36689888  0.71679972  0.46678657  0.52726228  0.28029636  0.51746483
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[ 2.13078613]
[ 0.68559417  0.45365812  0.62425241  0.33191516  0.30222795  0.25151196
  0.56445336  0.64410401  0.49447854  0.24237774]
[-1.08322489]
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  0.48128077  0.6117598   0.42814251  0.24656366]
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[ 0.35367244  0.5865672   0.3976526   0.65863447  0.4120199   0.52750254
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[ 0.36533065]
[ 0.40634237  0.60519977  0.47241538  0.54281702  0.44876187  0.4794973
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[ 1.08604269]
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[ 0.61888393]
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[ 0.56939859]
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[ 1.03140391]
[ 0.48634348  0.43369716  0.58332971  0.33704928  0.49706092  0.63988668
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[ 0.96663891]
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[ 0.53651155]
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[ 0.80741714  0.377548    0.56720819  0.45290924  0.4166937   0.35062161
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[ 0.1929706]
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[ 0.00758627]
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[ 0.1696107]
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[ 0.11944261]
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[ 0.20767821]
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[ 0.36433253]
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[ 0.60389316]
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[ 0.12374754]
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[ 0.4930739]
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[ 0.73709092]
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[ 1.64675172]
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[ 0.41430112]
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[ 0.4029086]
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[ 0.11619805]
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[ 0.18226168]
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[ 0.62223994]
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[ 0.93712543]
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[ 0.42904666  0.67607348  0.47176436  0.4884966   0.47937485  0.59043138
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[ 0.43246259  0.43310932  0.55866032  0.41180038  0.4799494   0.79111832
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[ 1.47765599]
[ 0.69489009  0.54512492  0.61899258  0.41518452  0.38668931  0.44050047
  0.45859943  0.537566    0.48744168  0.37723297]
Progress: 65.4% ... Training loss: 0.304 ... Validation loss: 0.477[-1.12606028]
[ 0.70059137  0.13956797  0.71907852  0.37503223  0.40866281  0.3600491
  0.53794527  0.53076637  0.26597779  0.21684028]
[ 0.34917472]
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[ 0.85911246]
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[ 0.10579465]
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[ 1.3924347]
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[ 0.26277051]
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[ 1.81408135]
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[ 0.04491379]
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[ 0.34571182]
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[ 1.4561541]
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[ 0.17703722]
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[ 0.76688161]
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[ 0.04963372]
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[ 0.36190113]
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[ 0.13569264]
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[ 0.27688286]
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[ 0.27782147]
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[ 1.05427544]
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[ 0.02686789]
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[ 0.23558034]
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[ 0.61448693]
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[ 1.37624683]
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[ 0.27906191]
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[ 0.41371351]
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[ 0.88289222]
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[ 0.35981364]
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[ 0.10597476]
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[ 0.51709271]
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[ 0.11810892]
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[ 0.13928161]
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[ 0.80003952]
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[ 0.33289711]
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[ 0.1791022]
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[ 0.33637017]
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[ 0.24494455]
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[ 0.3706841   0.31467974  0.62790822  0.30924392  0.40228608  0.39286665
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[ 0.54239995]
[ 0.20157044  0.44031959  0.58854778  0.51802239  0.55204449  0.66041339
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[ 0.50939757  0.41703755  0.51613495  0.4226509   0.47953185  0.65435926
  0.48086113  0.48157082  0.40228575  0.46348454]
Progress: 65.7% ... Training loss: 0.302 ... Validation loss: 0.476[-0.44510584]
[ 0.52135129  0.53624599  0.51493596  0.32110497  0.26923274  0.30552016
  0.51442114  0.58300126  0.55731876  0.31687294]
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[ 0.10412121]
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[ 0.16166393]
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[ 1.0112216]
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[ 0.28017123]
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[ 0.4411837   0.48664405  0.592889    0.37714874  0.44063829  0.5568112
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[ 0.21809543]
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[ 1.15364638]
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[ 0.4556813]
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[ 0.58945387]
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[ 0.77246273  0.4777744   0.6061012   0.24488578  0.2896442   0.22963494
  0.59296543  0.63608951  0.56714975  0.25111434]
[ 0.13919107]
[ 0.46449639  0.59465897  0.49863465  0.47550224  0.4223096   0.41978573
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[ 0.5386993   0.46573992  0.49155005  0.48107184  0.59786632  0.50341421
  0.54573098  0.31086629  0.36481636  0.45556833]
Progress: 66.0% ... Training loss: 0.305 ... Validation loss: 0.470[-0.10421602]
[ 0.75232842  0.52836141  0.5919547   0.39710143  0.43607402  0.3595173
  0.50699815  0.59649099  0.58705161  0.35076767]
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[ 0.16015389]
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[ 0.03019083]
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[ 0.02203768]
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[ 0.17378028]
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[ 1.85958798]
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[ 1.1706105]
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[ 0.24063979]
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[ 0.08852657]
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[ 0.28617508]
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[ 1.54691363]
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[ 0.425955]
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[ 0.46391414]
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[ 0.02825726]
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[ 0.46730333]
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[ 0.30411596]
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[ 0.21807652]
[ 0.24744634  0.70136152  0.37636823  0.64430717  0.47359872  0.8024115
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[ 0.78867166]
[ 0.50374459  0.63550843  0.4555776   0.3482322   0.40917186  0.4767506
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[ 0.44279969  0.6024341   0.58752573  0.48094925  0.41218523  0.45898748
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[ 0.65425318  0.38450374  0.62235326  0.32741195  0.45383181  0.43282788
  0.56455409  0.58276483  0.41204819  0.41583769]
Progress: 66.3% ... Training loss: 0.363 ... Validation loss: 0.491[-0.74144724]
[ 0.38133549  0.62549178  0.51910464  0.60036458  0.2669647   0.6085652
  0.40694986  0.4760811   0.44440071  0.52501623]
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[ 0.0297418]
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[ 0.34050318]
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[ 1.7427907]
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[ 0.47417139]
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[ 0.37301196]
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[ 1.66265753]
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[ 0.55591359]
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[ 0.06056071]
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[ 0.54247042]
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[ 1.45246576]
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[ 0.19410582]
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[ 0.00818388]
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[ 0.04703843]
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[ 0.05216861]
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[ 1.41932875]
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[ 0.40419094]
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[ 0.96795438]
[ 0.47868172  0.55852586  0.42600312  0.56694058  0.33363089  0.53097522
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[ 0.39321176  0.50083376  0.43952379  0.62772081  0.4095883   0.545158
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[ 0.27356214  0.65284514  0.37138736  0.66390313  0.40450277  0.71544868
  0.40721416  0.48876954  0.42981157  0.50770447]
Progress: 66.6% ... Training loss: 0.362 ... Validation loss: 0.538[ 0.23281481]
[ 0.34020271  0.55562256  0.48642443  0.4782194   0.44188517  0.67448715
  0.46320084  0.54698814  0.40414054  0.54179774]
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[ 0.16408798]
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[ 0.2000531]
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[ 0.77178352]
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[ 0.88985635]
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[ 0.45500076]
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[ 0.06434783]
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[ 1.05883096]
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[ 0.47822571]
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[ 0.15899466]
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[ 1.74524785]
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[ 0.85844684]
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[ 0.45222304]
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[ 0.37057696]
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[ 0.31040118]
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[ 1.04260633]
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[ 0.90313368]
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[ 1.14044166]
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[ 0.23767934]
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[ 0.26226327]
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[ 0.60149241]
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[ 0.53251589]
[ 0.21237116  0.44668275  0.54451789  0.49480054  0.54118163  0.65987999
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[ 0.40206059]
[ 0.24667556  0.57054688  0.45964172  0.41031638  0.44515026  0.75053593
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[ 0.21640181]
[ 0.34116539  0.60904376  0.42982856  0.58476568  0.47694517  0.68030197
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  0.48923189  0.57268444  0.46392524  0.44176553]
Progress: 66.9% ... Training loss: 0.346 ... Validation loss: 0.478[-0.45432325]
[ 0.31947706  0.46159336  0.54010727  0.41346644  0.44180964  0.53724123
  0.51584099  0.45892693  0.48914605  0.40208516]
[ 1.24915207]
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[ 0.51812844]
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[ 0.05058907]
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[ 1.09252352]
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[ 0.05726362]
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[ 0.43015097]
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[ 0.0447495]
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[ 0.39286903]
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[ 0.00981907]
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[ 0.3017431]
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[ 0.15710624]
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[ 0.065954]
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[ 0.06234244]
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[ 0.48222403  0.698241    0.46490508  0.57415609  0.25836754  0.47710105
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[ 0.05726362]
[ 0.18676613  0.69992323  0.39456809  0.62287164  0.41601229  0.75771643
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[ 0.17142601  0.45851968  0.48335252  0.60934037  0.5478652   0.70297247
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[-0.23795716]
[ 0.58030518  0.70082261  0.50660559  0.46053881  0.26897867  0.3735091
  0.48979068  0.5871838   0.64959954  0.44300778]
Progress: 67.1% ... Training loss: 0.314 ... Validation loss: 0.488[-0.10032464]
[ 0.4248874   0.57738034  0.41242137  0.66645827  0.38469616  0.48497007
  0.41445822  0.57963512  0.52392403  0.47790082]
[ 0.78756231]
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[ 0.17704064]
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[ 0.11756957]
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[ 0.37625856]
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[ 0.39955899]
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[ 0.12067938]
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[ 0.27632905]
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[ 0.28867042]
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[ 0.56697656]
[ 0.62688937  0.46753482  0.49923447  0.40777401  0.41896212  0.42904321
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[ 0.19732008]
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[ 0.50185476  0.75448938  0.43902365  0.64984186  0.35812135  0.64032688
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[ 1.10195299]
[ 0.46061041  0.78080004  0.42107145  0.50589953  0.25467167  0.46195619
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[ 0.10435002]
[ 0.34776979  0.52791394  0.52687544  0.48503097  0.34858839  0.54543876
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[-0.2258674]
[ 0.69220099  0.72899406  0.51695355  0.59984176  0.429756    0.32544781
  0.52442694  0.6262616   0.69937971  0.66208613]
Progress: 67.4% ... Training loss: 0.303 ... Validation loss: 0.480[-0.01347671]
[ 0.32424276  0.55673162  0.47663417  0.58360551  0.35638339  0.69196717
  0.38389128  0.573039    0.52839514  0.46299292]
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[ 0.1346325]
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[ 0.11820191]
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[ 0.00101017]
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[-1.23931777]
[ 0.39441085  0.4237548   0.5852562   0.28515675  0.32457015  0.46154385
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[ 0.50037269]
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[ 0.39792018]
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[ 0.27334324]
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[ 0.277477]
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[ 1.24680506]
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[ 0.33759576]
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[ 0.41703373]
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[ 0.98651551]
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[ 0.00762805]
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[ 0.05993825]
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[ 1.41809274]
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[ 1.03637107]
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[ 1.2899418]
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[ 0.06033747]
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[ 0.26298671]
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[ 0.52006489]
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[ 0.04935039]
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[ 0.18947201]
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[ 0.21085012]
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[ 0.50048849]
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[ 1.3766387]
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[ 0.61713169]
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[ 0.44105531]
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[ 0.5855971]
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[ 0.45389183]
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[ 0.09223923]
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[ 0.36165874]
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[ 1.21031041]
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[ 1.17212576]
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[ 0.48973508]
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[ 0.28062938]
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[ 0.29039226]
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[ 0.65041823]
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[ 1.69086533]
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[ 0.54401343]
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[ 0.12676735]
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[ 0.85356402]
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[ 0.53962415  0.63516885  0.49604609  0.50980614  0.47904728  0.46542466
  0.54233064  0.50157871  0.5826367   0.59790759]
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[ 0.38992287  0.44425445  0.58815263  0.31242686  0.34188505  0.39216395
  0.4293708   0.63349573  0.42485617  0.23946563]
[ 0.26587691]
[ 0.21242034  0.45864488  0.66751939  0.40162888  0.41233354  0.72610508
  0.4229764   0.414343    0.38618806  0.432198  ]
[ 0.12539918]
[ 0.62847868  0.49997125  0.58848131  0.25758042  0.4390942   0.42027572
  0.49348796  0.53421992  0.59189954  0.40247299]
Progress: 67.7% ... Training loss: 0.309 ... Validation loss: 0.473[-1.24396024]
[ 0.35861259  0.17323832  0.80435316  0.189972    0.46790521  0.48451053
  0.5055128   0.5302051   0.34891047  0.25123216]
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[ 0.3599191]
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[ 0.6427018]
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[ 0.32672335]
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[ 0.05459991]
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[ 0.30908571]
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[ 0.21440055]
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[ 0.51665383]
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[ 0.44845542]
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[ 1.46737272]
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[ 0.06006114]
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[ 0.2616843]
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[ 0.48285955]
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[ 0.10327159]
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[ 1.00837435]
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[ 1.64591509]
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[ 0.51607328]
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[ 0.50137055]
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[ 0.12332477]
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[ 0.73531846]
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[ 0.50399914]
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[ 1.89318023]
[ 0.75568508  0.47116603  0.57494798  0.41554914  0.22042088  0.3194124
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[ 0.3331857]
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[-0.32783199]
[ 0.55824409  0.50559463  0.60038206  0.38819024  0.53787454  0.51936016
  0.4854632   0.53779893  0.491912    0.47701543]
[ 0.49098414]
[ 0.19012588  0.38361627  0.67056998  0.48467982  0.49425872  0.7534141
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[-0.16438622]
[ 0.58419717  0.61820555  0.55220745  0.49501283  0.32394272  0.36191803
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[ 0.14627533]
[ 0.26404744  0.60477859  0.35594332  0.6779516   0.55105197  0.60392432
  0.43396551  0.42588378  0.30385451  0.59593686]
Progress: 68.0% ... Training loss: 0.301 ... Validation loss: 0.475[-0.16734268]
[ 0.73580804  0.57097094  0.43733839  0.49319206  0.31693077  0.26609257
  0.48948137  0.45438984  0.56817731  0.50228466]
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[ 0.81088429]
[ 0.62326647  0.52752204  0.527508    0.41720562  0.36138719  0.3604699
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[ 0.01827141]
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[ 0.39388797]
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[ 0.21911404]
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[ 0.05953451]
[ 0.60821516  0.44797792  0.58653492  0.4298564   0.58453684  0.50850168
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[ 0.38858797]
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[ 0.69771432]
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[ 0.28808954]
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[ 1.79349713]
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[-1.06541164]
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[ 0.18946015]
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[ 0.00562616]
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[ 0.2014014]
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[ 0.42272556]
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[ 0.13121055]
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[ 0.4406749]
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[ 0.68909393]
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[ 0.75463395]
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[ 0.20022402]
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[ 1.13612495]
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[ 0.13295142]
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[ 0.19511065]
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[ 0.38413985]
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[ 0.39769857  0.60959007  0.36932862  0.60099307  0.47321645  0.43532878
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[ 0.99677479]
[ 0.45748554  0.63867377  0.39821861  0.54351625  0.29941716  0.36864781
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[ 0.33814597  0.61786988  0.43529168  0.52375635  0.31646863  0.37918912
  0.44774341  0.61174381  0.67942398  0.27300201]
Progress: 68.3% ... Training loss: 0.312 ... Validation loss: 0.498[-0.46305211]
[ 0.58986689  0.56875443  0.50036442  0.5219162   0.42445199  0.4054222
  0.4589495   0.54147413  0.50233222  0.44878949]
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[ 0.65180548]
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[ 1.39313633]
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[ 0.12695079]
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[ 0.05927817]
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[ 0.39333331  0.6121002   0.46718799  0.4557844   0.38390675  0.58345782
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[ 0.19908058]
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[ 0.21005012]
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[ 0.59433354]
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[ 0.62798109]
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[ 0.84958089]
[ 0.65018488  0.62402715  0.59685761  0.52005479  0.46365345  0.54594264
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[ 0.18855637]
[ 0.35794566  0.79348393  0.40856355  0.62986238  0.26685783  0.57723273
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[ 0.34230585]
[ 0.30028645  0.46322995  0.41382796  0.60135942  0.43803537  0.53553632
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[ 0.32974186  0.67954728  0.49168663  0.52591992  0.33688811  0.57050665
  0.4790643   0.63909794  0.46613461  0.44574085]
Progress: 68.6% ... Training loss: 0.304 ... Validation loss: 0.490[ 1.58528082]
[ 0.56605245  0.79452674  0.36018859  0.55980869  0.2115444   0.37303148
  0.58439385  0.77327046  0.70558544  0.29640382]
[ 1.1942728]
[ 0.66057328  0.67186026  0.4862247   0.40388213  0.32709226  0.44546857
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[ 0.06699078]
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[ 0.94856267]
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[ 0.39446375]
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[ 0.16058849]
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[ 0.47054646]
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[ 0.07507607]
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[ 0.89860576]
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[ 0.35491965]
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[ 2.17128543]
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[ 0.14599851]
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[ 0.00346515]
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[ 1.66740372]
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[ 0.02684021]
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[ 0.31441076]
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[ 0.10919599]
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[ 0.01038354]
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[ 0.25528735]
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[ 0.26487607]
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[ 0.00562788]
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[ 0.08174652]
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[ 0.5047666   0.47195582  0.58210902  0.42250948  0.47465476  0.63391616
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[ 0.66148027]
[ 0.29290015  0.59428358  0.46836878  0.42836272  0.45429632  0.52965285
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[ 0.29907288]
[ 0.30346086  0.65774005  0.45539654  0.61152982  0.38862184  0.44032192
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[ 0.26144299]
[ 0.7049369   0.54019112  0.57827977  0.30382293  0.31658098  0.23114945
  0.5370307   0.65957029  0.56734653  0.2965899 ]
Progress: 68.9% ... Training loss: 0.301 ... Validation loss: 0.473[ 0.20840498]
[ 0.42213262  0.78778295  0.45344843  0.59840377  0.33788619  0.68027965
  0.48898449  0.4442235   0.64554117  0.63896824]
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[ 0.38603722]
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[ 0.23013501]
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[ 0.15064676]
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[ 0.05563188]
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[ 0.28633969]
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[ 1.54804982]
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[ 1.0203221]
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[ 1.25737423]
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[ 0.65971414]
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[ 0.11171132]
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[ 0.64334103]
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[ 1.2861453]
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[  8.94407192e-05]
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[ 0.0162497]
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[ 0.19192628]
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[ 0.24475164]
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[ 0.21708826]
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[ 0.1134298]
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[ 0.56674179]
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[ 0.45057004]
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[ 0.16260698  0.57660786  0.50125507  0.54319135  0.32331198  0.55247059
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[ 0.39868595  0.61093622  0.41640655  0.27819205  0.34983904  0.31214919
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[ 0.2671976   0.3356625   0.57238908  0.48759871  0.57766563  0.74676777
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[ 0.44493826]
[ 0.20472783  0.62561019  0.41687788  0.40898546  0.48605947  0.70334154
  0.35860964  0.30696392  0.34247677  0.62078161]
Progress: 69.1% ... Training loss: 0.319 ... Validation loss: 0.501[-0.10719408]
[ 0.29818125  0.16495259  0.81639611  0.24031276  0.56729656  0.69377116
  0.45540965  0.42557093  0.36212783  0.41137254]
[ 0.95685412]
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[ 0.63676639]
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[ 0.66315842]
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[ 0.29684091]
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[ 0.16890416]
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[ 0.3471645   0.64683191  0.41639748  0.5487929   0.39100884  0.61668717
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[ 0.04741437]
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[ 0.17714767]
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[ 0.5486534]
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[ 0.09969075]
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[ 0.31169373]
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[ 0.46519634]
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[ 0.40733964]
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[ 0.13338861]
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[ 0.62672319]
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[ 0.72380113]
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[ 0.68675623]
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[ 0.18236672]
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[ 0.12571634]
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[ 0.10132398]
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[ 0.58461571]
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[ 0.67534539]
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[ 0.22031909]
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[ 0.59294425]
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[ 1.82068358]
[ 0.77345738  0.60047045  0.60615636  0.36516531  0.47272524  0.43007607
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[ 0.75194316]
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[ 0.7010628]
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[ 1.21246517]
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[ 1.65010035]
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[ 0.0650666]
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[ 2.23264212]
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[ 0.10469794]
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[ 0.00123603]
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[ 2.48677565]
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[ 0.10308836]
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[ 0.55087602]
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[ 0.22265664]
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[ 0.20421352]
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[ 1.0637273]
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[ 0.1974564]
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[ 0.32381475]
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[ 0.12913645]
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[ 0.52569734]
[ 0.13280696  0.5728564   0.39253949  0.71767703  0.40108527  0.59522983
  0.34925661  0.36636807  0.4485074   0.64972797]
[ 0.05334312]
[ 0.40898675  0.42452121  0.63632937  0.40311216  0.55913824  0.56327975
  0.3719421   0.43747307  0.52031579  0.40806492]
[-0.44724506]
[ 0.53949752  0.50985216  0.66914442  0.29650253  0.58900132  0.52840975
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[ 0.14494318]
[ 0.29622043  0.46102081  0.52085129  0.44246451  0.51221895  0.63473157
  0.59184629  0.56653053  0.35997647  0.41858176]
Progress: 69.4% ... Training loss: 0.313 ... Validation loss: 0.471[-0.4188447]
[ 0.56513239  0.44822534  0.62440123  0.29470267  0.43110875  0.46087769
  0.54920946  0.47072017  0.55202547  0.41555831]
[ 0.11416551]
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[ 0.32891275]
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  0.36373685  0.47599585  0.59835909  0.49094554]
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[ 0.33400541]
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[ 0.67617462]
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  0.49644138  0.60984889  0.57345746  0.39932928]
[ 0.19438077]
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[ 0.11717077]
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[ 0.41891949]
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  0.39160299  0.48806629  0.46510157  0.44782735]
[ 0.7899942]
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  0.52466464  0.57485212  0.6687005   0.4528385 ]
[ 0.31456244]
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[ 0.30726092]
[ 0.32372504  0.4606926   0.51986281  0.40652715  0.39709998  0.51878464
  0.33948404  0.49466457  0.38552894  0.38933108]
[ 0.74055026]
[ 0.43700815  0.37587284  0.67103721  0.26119151  0.43348353  0.52511974
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  0.4626305   0.45377966  0.39092206  0.53280535]
Progress: 69.7% ... Training loss: 0.326 ... Validation loss: 0.516[-0.29758286]
[ 0.4631652   0.433222    0.5971381   0.18080953  0.41334191  0.44318364
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[ 1.20418738]
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[ 0.15921354]
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[ 0.10828167]
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[ 1.17621869]
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[ 0.20546398]
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[ 0.50885667]
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[ 0.55458329]
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[ 0.43052375]
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[ 0.1408732]
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[ 0.40516158]
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[ 0.77004556]
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[ 0.3166784]
[ 0.40214474  0.36620276  0.69236244  0.26566462  0.47002879  0.60142858
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[ 0.07667845]
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[ 0.36131458  0.61686544  0.36750832  0.6695426   0.29699593  0.69269976
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[ 0.16721076]
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[ 0.75252811  0.62506492  0.61049299  0.44927024  0.4912045   0.45717552
  0.49197672  0.56572233  0.67772388  0.47476251]
[ 0.21312869]
[ 0.62615384  0.66524342  0.47883828  0.33175063  0.25900526  0.44116887
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[-0.0891959]
[ 0.64252306  0.67445196  0.58466952  0.22349992  0.4873225   0.43422208
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[ 0.61493516]
[ 0.49695539  0.73385423  0.33093346  0.49407703  0.3369623   0.51080722
  0.3962763   0.46221255  0.58263544  0.48413263]
Progress: 70.0% ... Training loss: 0.306 ... Validation loss: 0.476[-0.12590495]
[ 0.32712074  0.4053443   0.64627465  0.30663787  0.51088446  0.66965186
  0.42427523  0.38030409  0.44994595  0.48953232]
[ 0.28526811]
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[ 0.5150709   0.58424525  0.39811685  0.5569565   0.34047277  0.63663919
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[ 0.31655801]
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[ 0.34064865]
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[ 1.43460337]
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[ 0.36175903]
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[ 0.27800828]
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[ 0.15530508]
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  0.46660312  0.42158009  0.43592481  0.4239594 ]
[ 0.77817443]
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[ 0.67754844]
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[ 0.45933428]
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[ 0.0641074]
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[ 0.18586192]
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[ 0.20898729]
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[ 0.45292312]
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[ 0.36885796]
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[ 0.02480577]
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[ 0.14728321]
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[ 1.23815719]
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[ 0.29155024]
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[ 0.17905517]
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[ 1.44842325]
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[ 0.60747363]
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[ 0.39872571]
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[ 0.00232059]
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[ 0.65911852]
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[ 0.19460254]
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[ 0.37473892]
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[ 0.51121793]
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[ 0.2423471]
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[ 0.09867605]
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[ 0.21525996]
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[ 0.03601321]
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[ 0.33414811]
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[ 0.19632372]
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[ 0.03887315]
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[ 0.12497431]
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[ 0.1632771]
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[ 0.26965343  0.46375118  0.56937349  0.44553958  0.45770676  0.5637185
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[ 0.2905767   0.70499891  0.45783408  0.44537642  0.43879665  0.53062894
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[-0.93575271]
[ 0.32650088  0.4140909   0.46709897  0.5719337   0.4298376   0.50824022
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[-1.03180297]
[ 0.24363397  0.49382652  0.63720547  0.48429268  0.28814191  0.54543967
  0.44844325  0.64889259  0.5090759   0.32572615]
Progress: 70.3% ... Training loss: 0.306 ... Validation loss: 0.490[-0.46833845]
[ 0.30520306  0.48093465  0.65685599  0.40976556  0.44871859  0.52173982
  0.3679281   0.4797112   0.55595554  0.40094496]
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[ 0.25737773]
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[ 0.51397792]
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[ 0.49823715]
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[ 0.20775616]
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[ 0.3298443]
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[-1.08619069]
[ 0.30847831  0.60110071  0.60126443  0.33163722  0.28555702  0.5110519
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[ 0.22141804]
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[ 0.15229551]
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  0.58578513  0.37094866  0.57516127  0.46540882]
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[ 0.10185159]
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[ 0.37526281]
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[ 0.38067016]
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[ 0.56114865]
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[ 0.23057603]
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[ 0.0046435]
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[ 0.05406669]
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[ 0.22277438]
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[ 0.07740566]
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[ 0.59268033]
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[ 0.08366775]
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[ 0.22513026]
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[ 0.9787475]
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[ 0.9787475]
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[ 0.65573504]
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[ 0.02954099]
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[ 0.62177381]
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[ 0.68223326]
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[ 0.26738615]
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[ 0.12836025]
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[ 1.032801]
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[ 0.73474202]
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[ 0.09280749]
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[ 0.65559707]
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[ 0.58633347]
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[ 0.40218624]
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[ 1.27099575]
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[ 0.20487225]
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[ 0.35512578]
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[ 1.42211304]
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[ 0.14580142]
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[ 0.1602777]
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[ 2.26764184]
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[ 0.21900336]
[ 0.42994655  0.58127353  0.49114176  0.58557304  0.38036526  0.56386714
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[ 0.57730013]
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[ 0.0558887]
[ 0.33425675  0.71744916  0.43150039  0.63514652  0.53636084  0.69450429
  0.52912876  0.47927411  0.52725907  0.63020382]
[ 0.05120396]
[ 0.1581452   0.36573654  0.55707829  0.58014469  0.37474654  0.77543412
  0.36878674  0.41070298  0.4831969   0.40667895]
[-0.30574741]
[ 0.39734662  0.52183728  0.55583002  0.45158009  0.50380231  0.53989222
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[-0.20404565]
[ 0.3753097   0.34220966  0.70979681  0.31004118  0.49339482  0.5405547
  0.54695942  0.46022084  0.47517544  0.28712253]
Progress: 70.6% ... Training loss: 0.312 ... Validation loss: 0.477[-0.58343151]
[ 0.3676575   0.79666152  0.32874668  0.70518157  0.24101811  0.47534113
  0.36744134  0.42244802  0.52285736  0.55434081]
[ 0.10096881]
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[ 0.42794682]
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[ 0.01714976]
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[ 0.74934141]
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[ 0.40373612]
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[ 0.37892016]
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[ 0.28886269]
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[ 0.24077363]
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[ 0.07160838]
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[ 0.16815158]
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[ 0.28283818]
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[ 0.06510308]
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[ 1.0329912]
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[ 0.03657178]
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[ 0.06476758]
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[ 0.96354067]
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[ 0.22507246]
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[ 0.10221308]
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[ 0.50865413]
[ 0.5463603   0.343953    0.68629779  0.27986499  0.52653005  0.5821359
  0.45258436  0.47884334  0.50357152  0.4783398 ]
[-0.40848371]
[ 0.3438249   0.61369013  0.33910182  0.44342375  0.40441735  0.55931578
  0.42902519  0.56811196  0.50428297  0.36028829]
[-0.13634897]
[ 0.45116783  0.56753977  0.56116035  0.50692391  0.60117338  0.68313267
  0.396576    0.42660429  0.36766189  0.63194147]
[ 0.52657717]
[ 0.5827119   0.40931393  0.62042895  0.27396349  0.41805802  0.5074174
  0.57164998  0.54603375  0.3959321   0.37157228]
Progress: 70.9% ... Training loss: 0.308 ... Validation loss: 0.490[ 0.38989434]
[ 0.37808143  0.61963694  0.43359813  0.45153922  0.4051758   0.37715435
  0.57684353  0.63135165  0.55025532  0.36288191]
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[ 0.1060906]
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  0.44054531  0.48842836  0.50337509  0.428454  ]
[ 0.17224987]
[ 0.35006223  0.42225432  0.52535696  0.56093899  0.38071132  0.54973577
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[ 0.13716781]
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[ 0.44013839]
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[ 1.59302574]
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[ 0.23315534]
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[ 0.12176085]
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[ 0.17296999]
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[ 0.28154277]
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[ 0.48192983  0.52947611  0.4706239   0.54374094  0.3113161   0.51704153
  0.44238241  0.55854089  0.58244393  0.50508391]
[ 1.62026734]
[ 0.77472501  0.47103772  0.5483095   0.22540822  0.28007568  0.22297785
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[ 0.74378368  0.55999862  0.57185452  0.27355627  0.31909349  0.43587521
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[ 0.56969873  0.65159023  0.42680097  0.57367336  0.43520282  0.64892762
  0.38548221  0.3463712   0.50303456  0.66960744]
Progress: 71.1% ... Training loss: 0.306 ... Validation loss: 0.471[-0.66969343]
[ 0.60526427  0.50722265  0.67029819  0.26007879  0.55039043  0.63847421
  0.43047946  0.53566503  0.53122908  0.54625548]
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[ 0.39138419]
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[ 0.20492085]
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[ 0.21967844]
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[ 0.08121836]
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[ 1.16500396]
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[ 0.03526254]
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[ 0.06848919]
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[ 0.94386789]
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[ 0.09053029]
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[ 0.1193234]
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[ 0.55317776]
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[ 0.04156678]
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[ 0.20697653]
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[ 0.00234901]
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[ 0.17646662]
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[ 0.00210311]
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[ 0.62635874]
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[ 1.24124436]
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[ 0.19257122]
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[ 0.31997228]
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[ 0.18343437]
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[ 1.90179206]
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[ 0.49640323]
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[ 0.89418814]
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[ 0.17455411]
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[ 0.38502558]
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[ 0.25094689]
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[ 0.01498383]
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[ 0.30134844]
[ 0.48209515  0.57025002  0.50855815  0.56240713  0.32058997  0.48850003
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[ 0.54866411  0.72957966  0.41265465  0.55953673  0.43603853  0.47961879
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[ 0.65494689  0.68817149  0.50019008  0.52700398  0.24203999  0.44062737
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[ 0.05760731]
[ 0.20110697  0.67887499  0.3774158   0.57756201  0.37895797  0.7254566
  0.32311317  0.4518062   0.49829223  0.49291437]
Progress: 71.4% ... Training loss: 0.302 ... Validation loss: 0.481[ 0.20448894]
[ 0.17461319  0.47773773  0.49481166  0.70772898  0.30422647  0.51069037
  0.40600414  0.5105684   0.51233323  0.38013338]
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[ 0.20394051]
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[ 0.58945977]
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[ 1.55278536]
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[ 1.4385545]
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[ 0.12408863]
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[ 0.61570814]
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[ 1.84645683]
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[ 0.4804198]
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[ 0.0421485]
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[ 1.54321602]
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[ 1.58704233]
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[ 0.30236351]
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[ 0.42438041]
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[ 0.21910833]
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[ 0.49654376]
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[ 0.23042305]
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[ 0.3652826]
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[ 0.51064824]
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[ 0.37409021]
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[ 0.28562538]
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[ 1.50213568]
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[ 0.83317506]
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[ 0.45715564]
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[ 0.18386702]
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[ 0.60755652]
[ 0.6978281   0.60936014  0.62369174  0.32843781  0.46929724  0.43760676
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[ 0.28819306]
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  0.52831646  0.49285868  0.49787674  0.46618142]
Progress: 71.7% ... Training loss: 0.319 ... Validation loss: 0.478[-1.46347473]
[ 0.33752264  0.38115772  0.60439463  0.42502111  0.29504123  0.4757629
  0.49572407  0.61541367  0.54912015  0.26696472]
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[ 0.00254842]
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[ 0.91989609]
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[ 1.03341674]
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[ 0.1739908]
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[ 0.84204071]
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[ 0.70260037]
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[ 0.12830064]
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[ 1.03092543]
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[ 0.68438701]
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[ 0.3426323]
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[ 0.02601731]
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[ 0.14832102]
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[ 0.05702547]
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[ 0.44865973]
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[ 0.17278976]
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[ 0.46081337  0.7430808   0.41590177  0.6719574   0.44112623  0.59763576
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[ 0.18645131  0.45219131  0.64518149  0.39215393  0.43931766  0.66828542
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[ 0.48761251  0.64078757  0.46806885  0.55517565  0.33327935  0.46309191
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[ 0.34808963]
[ 0.1630444   0.36187007  0.637123    0.43080151  0.55752082  0.83435347
  0.43367102  0.33664898  0.40062532  0.51241621]
Progress: 72.0% ... Training loss: 0.358 ... Validation loss: 0.544[-0.06330767]
[ 0.79614033  0.37465309  0.55891001  0.46821968  0.44144986  0.38610858
  0.58539562  0.55752029  0.49266133  0.59596944]
[ 0.38783075]
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[ 0.10809084]
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[ 0.23242543]
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[ 0.31066152]
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[ 0.56098996]
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[ 0.00846484]
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[ 0.11031827]
[ 0.69281003  0.56361398  0.54670793  0.47176263  0.40125694  0.4875016
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[ 0.45997522]
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[ 0.56674241]
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[ 0.45399074]
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[ 0.48674108]
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[ 0.66658529]
[ 0.65690825  0.65146373  0.46904779  0.57106266  0.27378738  0.44908804
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[ 0.17478657]
[ 0.39937643  0.7372099   0.34491121  0.58870058  0.42814153  0.62177987
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[ 0.67267156  0.60564806  0.52797713  0.31216342  0.42714711  0.47863733
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[ 0.43126068]
[ 0.38287852  0.65052283  0.45683769  0.53267189  0.34230496  0.49076417
  0.34897456  0.51524589  0.50457906  0.55907855]
Progress: 72.3% ... Training loss: 0.318 ... Validation loss: 0.489[ 0.0068051]
[ 0.70858574  0.61596993  0.61706631  0.29142356  0.37956554  0.39793536
  0.6679067   0.62136176  0.65953207  0.38366197]
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[ 0.18398755]
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[ 0.15205103]
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[ 1.18429282]
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[ 0.30682607]
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[ 0.13499275]
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[ 0.65927588]
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[ 0.36503569]
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[ 0.22225625]
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[ 0.59994765]
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[ 1.45445361]
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[ 1.04337639]
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[ 0.27225245]
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[ 1.15559019]
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[ 0.98288308]
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[ 0.31656244  0.6227955   0.42293763  0.57314517  0.35748498  0.51465257
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[ 1.1155727]
[ 0.28304655  0.54885616  0.49352478  0.48439491  0.28977901  0.46124305
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[ 0.68459185  0.61186396  0.486114    0.49622377  0.27301145  0.40018451
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[ 0.21826169  0.30763856  0.71201081  0.38282436  0.5269365   0.68540071
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[ 0.38470978]
[ 0.35438582  0.58675492  0.47293576  0.33321995  0.34829159  0.54406115
  0.40934122  0.52917749  0.45351085  0.37930046]
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[ 0.34361372  0.4490057   0.70024179  0.25877214  0.63965554  0.76138862
  0.41688227  0.40176824  0.43479295  0.62442727]
[ 0.37481226]
[ 0.58105869  0.69577326  0.45481949  0.48168363  0.29976221  0.52063359
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[ 0.69343553]
[ 0.32312842  0.75978739  0.34630669  0.54480677  0.30764415  0.46766941
  0.53549733  0.65830807  0.66724037  0.31267652]
Progress: 72.6% ... Training loss: 0.308 ... Validation loss: 0.492[ 0.41250649]
[ 0.64099011  0.50054576  0.59044787  0.29439409  0.41511644  0.43536605
  0.60546222  0.58194126  0.51291826  0.3687248 ]
[ 0.46276088]
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[ 0.20014158]
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  0.2960038   0.47367974  0.42271674  0.68998327]
[ 0.42575222]
[ 0.16130248  0.64602621  0.47928037  0.58305486  0.37089003  0.75205514
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[ 0.08936752]
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[ 0.12737306]
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[ 0.11660372]
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[ 0.37804108]
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[ 0.50323724]
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[ 0.12671828]
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[ 0.25192245]
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[ 0.73252169]
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[ 0.82506233]
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[ 0.21955261]
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[ 0.78121411]
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[ 0.22343396]
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[ 0.28546351]
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[ 1.3940203]
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[ 1.51726093]
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[ 0.16292765]
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[ 0.08882284]
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[ 0.04221469]
[ 0.47304984  0.76054035  0.41942168  0.66258364  0.47695155  0.74564839
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[ 1.46086674]
[ 0.30828579  0.63418576  0.47045356  0.5177369   0.28509773  0.43956558
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  0.41741154  0.43696081  0.4532147   0.53022866]
Progress: 72.9% ... Training loss: 0.304 ... Validation loss: 0.489[ 0.02384643]
[ 0.78198568  0.46626264  0.5688495   0.42889896  0.29886933  0.4014665
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[ 1.44648054]
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[ 0.1760168]
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[ 0.27545508]
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[ 0.2440299]
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[ 0.47607588  0.55706817  0.4856779   0.64591376  0.43197684  0.49317099
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[ 0.2707647]
[ 0.75851634  0.60844608  0.58496392  0.39951579  0.38638337  0.41890412
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[ 0.73494322  0.67493912  0.48236375  0.31572828  0.39216028  0.46561948
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[ 0.33267125  0.1604094   0.78507231  0.22798867  0.46103645  0.63006691
  0.47875517  0.40898726  0.27192733  0.2727335 ]
Progress: 73.1% ... Training loss: 0.331 ... Validation loss: 0.523[ 0.23535745]
[ 0.31210962  0.73053239  0.43579065  0.57238122  0.31163654  0.64750905
  0.41555725  0.51907716  0.55154775  0.60006345]
[ 0.04930959]
[ 0.33232606  0.37455367  0.71746578  0.33618949  0.50086156  0.63940866
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[ 0.14024423]
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  0.5149355   0.60827009  0.59233491  0.40030202]
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[ 0.76175303]
[ 0.19757344  0.59307169  0.43927223  0.50754137  0.33442625  0.56233268
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[ 0.11841916]
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[ 0.06701886]
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[ 0.2193785]
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[ 0.299148]
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[ 0.09544556]
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[ 0.57211009]
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[ 0.71403048]
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  0.53937036  0.50925059  0.62423798  0.37173251]
[ 1.37529409]
[ 0.83335366  0.45526067  0.57754184  0.29178317  0.25544647  0.28331988
  0.56341954  0.57825581  0.57839674  0.32309365]
[ 1.04205563]
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  0.47214954  0.4205991   0.5562908   0.45495264]
[ 0.13850528]
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[ 0.80279908  0.49821831  0.59521752  0.26855752  0.41469095  0.47725927
  0.56427175  0.42845395  0.61702211  0.51102067]
Progress: 73.4% ... Training loss: 0.323 ... Validation loss: 0.502[-0.26411618]
[ 0.59259979  0.52140044  0.57891817  0.51152577  0.37529778  0.41399704
  0.52139046  0.59278845  0.57110426  0.30785116]
[ 0.33362444]
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[ 0.94149465]
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[ 0.10544236]
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[ 1.64387891]
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[ 0.9918635]
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[ 0.74530335]
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[ 0.28136235]
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[ 1.66613309]
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[ 0.64291964]
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[ 0.80735589]
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[ 0.19304105  0.50485244  0.56435419  0.47175444  0.46162388  0.75993457
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[ 0.66009873]
[ 0.65632637  0.61319528  0.56340604  0.27154773  0.29036423  0.31298898
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[ 0.32657358  0.17249098  0.80551681  0.1835086   0.46962707  0.5182675
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[ 0.40777128  0.68438005  0.43925396  0.67131702  0.36363334  0.62924928
  0.42190237  0.37133511  0.55814753  0.70017996]
Progress: 73.7% ... Training loss: 0.298 ... Validation loss: 0.477[-1.35591679]
[ 0.50446083  0.22019751  0.76222314  0.18935791  0.59588145  0.42563553
  0.58373965  0.41993215  0.37673462  0.28297509]
[ 0.14458202]
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[ 0.36821325]
[ 0.20761885  0.41353668  0.64554951  0.45339761  0.46344215  0.79564708
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[ 0.39300478]
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[ 0.0751793]
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[ 0.04531617]
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[ 1.05196791]
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[ 0.09154218]
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[ 0.48877969]
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[ 0.27983601]
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[ 0.53178757]
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[ 0.12047734]
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[ 1.62356499]
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[ 0.00648033]
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[ 1.24247446]
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[ 0.12405811]
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[ 0.08332541]
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[ 1.19806]
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[ 0.23648037]
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[ 0.1353158]
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[ 1.20493976]
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[ 0.396161]
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[ 0.91880846]
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[ 0.12827499]
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[ 0.44939339]
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[ 0.24705993]
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[ 0.1121856]
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[ 0.27347863]
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[ 0.11936705]
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[ 0.11975725]
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[ 0.54507022]
[ 0.21709549  0.46849352  0.5288062   0.58203412  0.44599199  0.74238637
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[ 0.32215228  0.53237899  0.46942213  0.50353871  0.39705781  0.60798504
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[ 0.37546607  0.42975139  0.63088632  0.27683953  0.40267706  0.55201652
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[ 0.08087469]
[ 0.5236288   0.53102881  0.56666933  0.42497312  0.47793892  0.43968105
  0.64036082  0.47692181  0.5518543   0.4229632 ]
Progress: 74.0% ... Training loss: 0.301 ... Validation loss: 0.481[ 0.20161536]
[ 0.19346257  0.64416651  0.52427021  0.47778346  0.4422923   0.72417014
  0.31744767  0.47004731  0.54867924  0.53586737]
[ 0.25058731]
[ 0.7531873   0.31240449  0.67599703  0.18950921  0.48617309  0.3956159
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[ 0.0076157]
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[ 0.36028813]
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[ 0.20467628]
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[ 0.98669193]
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[ 0.6119653]
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[ 0.46687545]
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[ 0.02317806]
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[ 0.31877219]
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[ 0.04287238]
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[ 0.3443425]
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[ 0.12443262]
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[ 0.17483445]
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[ 0.48478594]
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[ 0.04554958]
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[ 0.01876086]
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[ 0.20849752]
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[ 0.23468369]
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[ 0.36662865]
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[ 0.70256187]
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[ 0.17852788]
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[ 0.27543795]
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[ 0.42414847]
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[ 0.60667303]
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[ 0.31423935]
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[ 1.42977306]
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[ 1.22194821]
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[ 1.06682681]
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[ 0.05898696]
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[ 0.01395643]
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[ 0.19203523]
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[ 0.13375525]
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[ 0.675747]
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[ 0.00910934]
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[ 1.80098509]
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[ 0.34013361]
[ 0.50000022  0.55601229  0.35681629  0.39791875  0.38170627  0.48646939
  0.4268564   0.4424134   0.48726564  0.43169506]
[ 1.12211266]
[ 0.74251154  0.50452722  0.643493    0.30513049  0.39071772  0.40714157
  0.51557173  0.46348386  0.65392287  0.47747652]
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[ 0.8148156   0.5727747   0.65039116  0.22910302  0.45874513  0.55710012
  0.6451246   0.49495928  0.49745841  0.56873797]
Progress: 74.3% ... Training loss: 0.331 ... Validation loss: 0.506[-0.1879838]
[ 0.17858113  0.45161213  0.5148195   0.56543352  0.470526    0.70402467
  0.42982448  0.47295115  0.53577019  0.43955843]
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[ 0.07009108]
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[ 0.34908691]
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[ 0.37501507]
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[ 1.73269633]
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  0.42231358  0.49826527  0.47690939  0.46437398]
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[ 0.17793818]
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[ 1.80363098]
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[ 0.12533182]
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[ 0.77194163]
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[ 0.44611205]
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[ 0.09843588]
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[ 0.27290349]
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[ 0.61964896]
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[ 0.28574665]
[ 0.39779989  0.68954034  0.35949154  0.65881207  0.24524609  0.4738399
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[ 0.44770766  0.78893783  0.44185903  0.6953646   0.37623495  0.50085677
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[ 0.99364904]
[ 0.68499874  0.65113993  0.43112829  0.50511415  0.21832974  0.34901495
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[ 0.17540504  0.63211114  0.49336169  0.47838476  0.50676837  0.53796211
  0.37647139  0.31926622  0.39331982  0.57090751]
Progress: 74.6% ... Training loss: 0.298 ... Validation loss: 0.465[-0.69349419]
[ 0.35345992  0.74827814  0.40532499  0.68570241  0.23960398  0.56335699
  0.41348703  0.48662562  0.60873878  0.50711459]
[ 0.50660074]
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[ 0.27790273]
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[ 0.2301658]
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[ 0.86160901]
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[ 0.04859906]
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[ 0.24225521]
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[ 0.14151512]
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[ 0.19280441]
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[ 0.01045452]
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[ 0.68652384]
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[ 0.55292894  0.41241728  0.52014535  0.32598217  0.32240871  0.22658865
  0.4956401   0.62591438  0.56930246  0.22070988]
[ 1.36308979]
[ 0.81169803  0.5221391   0.67653039  0.18067109  0.36475144  0.29950891
  0.69735115  0.70482551  0.64016347  0.30415388]
[ 0.17437614]
[ 0.47650528  0.74652929  0.4219265   0.5732577   0.32958747  0.46961976
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[ 0.12026056]
[ 0.51082248  0.48771323  0.49108945  0.44312161  0.54236668  0.60882187
  0.52876049  0.48119741  0.47263696  0.38195439]
Progress: 74.9% ... Training loss: 0.328 ... Validation loss: 0.478[-0.41331024]
[ 0.63292385  0.48232401  0.56730718  0.40397044  0.3700088   0.5250456
  0.42023368  0.64818784  0.5348018   0.48064516]
[ 0.42959324]
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[ 0.51145064]
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[ 0.31402443]
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[ 1.66357238]
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[ 1.19669883]
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[ 0.06684906]
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[ 0.04236266]
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[ 0.3670903]
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[ 1.07457907]
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[ 0.29547416]
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[ 0.32852485]
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[ 0.81130583]
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[ 0.60656686]
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[ 0.00769286]
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[ 0.39239189]
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[ 0.20404386]
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[ 0.28957253]
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[ 1.17742136]
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[ 1.42291938]
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[ 0.87432109]
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[ 0.15199244]
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[ 0.3714394]
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[ 0.14336615]
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[ 0.03308529]
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[ 0.39378976]
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[ 0.19095478]
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[ 0.0112227]
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[ 0.13646557]
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[ 0.2276639]
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[ 0.69624931]
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[ 0.50687425]
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[ 0.74807333  0.61385401  0.6046104   0.36388172  0.48853795  0.44220472
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[ 1.05308891]
[ 0.69031526  0.49401279  0.55475499  0.28053545  0.40404317  0.24829907
  0.49248391  0.49093296  0.58256332  0.33105789]
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[ 0.43102315  0.23370295  0.76555134  0.20436571  0.61762744  0.51004313
  0.49631968  0.4064001   0.30173231  0.42003486]
[ 0.11921768]
[ 0.54199551  0.44216914  0.55691793  0.29660649  0.40969724  0.49233829
  0.44729452  0.48036493  0.4204263   0.46871109]
[-0.20462509]
[ 0.20226528  0.44956758  0.62582387  0.40332724  0.39323673  0.74675958
  0.38843789  0.4135456   0.4216092   0.43808431]
[ 0.13300343]
[ 0.75977415  0.43184909  0.62831608  0.26437797  0.43828239  0.31874937
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[ 0.448164    0.28623777  0.64910167  0.27606928  0.46693797  0.66041104
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[-0.02026808]
[ 0.36109345  0.76325694  0.4076214   0.7705306   0.48202161  0.66281779
  0.37476797  0.42646585  0.51156447  0.64194842]
Progress: 75.1% ... Training loss: 0.305 ... Validation loss: 0.481[-0.17524565]
[ 0.30252933  0.20453423  0.71247203  0.31728162  0.5437832   0.61331828
  0.44747451  0.31690296  0.41968304  0.24539097]
[ 0.35076215]
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[ 0.02931922]
[ 0.45385917  0.71525569  0.43144988  0.60667175  0.34034827  0.73783146
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  0.42710035  0.40896981  0.5752708   0.49716412]
[ 0.0172586]
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[ 0.99098435]
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[ 0.4973168]
[ 0.74979031  0.46701151  0.67208524  0.28108382  0.51932709  0.45299727
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[ 0.21867068]
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[ 0.14024535]
[ 0.3624044   0.67975914  0.4097356   0.61053404  0.39106484  0.62567809
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[ 0.27301942]
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[ 0.06666789]
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  0.3907079   0.45671135  0.42214478  0.55945746]
[ 0.03768187]
[ 0.81146935  0.44334056  0.59824603  0.25388462  0.4198139   0.29750586
  0.55077234  0.52137982  0.50531707  0.4595334 ]
[ 1.03451766]
[ 0.55169981  0.48395949  0.61071319  0.31699888  0.43043256  0.58436389
  0.5094774   0.4514973   0.37889223  0.47324031]
[ 0.42339566]
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  0.39272031  0.40221187  0.47191555  0.60527227]
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[-0.46299528]
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[ 1.34888768]
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[ 0.19256293]
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[ 0.29695165]
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  0.47766147  0.55511877  0.53657338  0.55660592]
[ 0.08111211]
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  0.38220861  0.47931277  0.51431939  0.48987053]
[ 0.89658367]
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  0.45282151  0.5082053   0.53555121  0.35660051]
[ 0.39124404]
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[ 0.10616658]
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[ 0.52817202]
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[ 0.32124756]
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[ 0.28123344]
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[ 1.19403487]
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[ 0.4675997]
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[ 0.01415589]
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[ 0.88395538]
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[ 0.71504554]
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[ 0.6136967]
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[ 1.45926534]
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[ 0.38296198]
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[ 0.17208276]
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[ 0.12096452]
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[ 0.04669142]
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[ 0.30558925]
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[ 0.11116135]
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[ 0.24221104]
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[ 0.50495798]
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[ 0.27247034]
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[ 0.07407262]
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[ 0.01320115]
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[ 0.26945178]
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[ 0.07899371]
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[ 0.07379978]
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[ 0.8351209]
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[ 1.17077326]
[ 0.53715342  0.62290119  0.37022432  0.48929854  0.28848961  0.32096859
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[ 0.0830055]
[ 0.56733806  0.4697462   0.4833599   0.4653271   0.29994555  0.50838625
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[ 0.28536957  0.67019138  0.50550293  0.62734789  0.41147494  0.60940856
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[ 0.59210483  0.79480223  0.48144073  0.50482528  0.4560046   0.45714835
  0.45651232  0.62328101  0.59818461  0.70358947]
Progress: 75.4% ... Training loss: 0.302 ... Validation loss: 0.459[ 0.80265803]
[ 0.75109152  0.4740801   0.62856107  0.26909903  0.40147581  0.24308655
  0.55404323  0.62820867  0.48821799  0.44352872]
[ 0.11276149]
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[ 0.17659536]
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[ 0.15902961]
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[ 0.10803066]
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[ 0.23566381]
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[ 0.53334231]
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[ 0.4016164]
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[ 0.11028533]
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[ 0.79740869]
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[ 0.31097414]
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[ 0.32223081]
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[ 0.75253707]
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[ 0.21082081]
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[ 0.13961643]
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[ 0.37019505]
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[ 0.37689594]
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[ 0.5279365]
[ 0.74815194  0.65182116  0.5167704   0.34798957  0.2972479   0.43833065
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[ 0.12121522]
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[ 0.34654925]
[ 0.31621642  0.3998768   0.5693871   0.30328115  0.38793327  0.57449479
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[ 0.45140657  0.73468385  0.45012177  0.65436116  0.48816037  0.65990107
  0.48133771  0.53447567  0.52775959  0.47924554]
[-0.42789023]
[ 0.32453972  0.76528144  0.34692512  0.59862008  0.38900035  0.60129792
  0.38022987  0.59046258  0.48111863  0.62044207]
[-0.15233027]
[ 0.45371628  0.54167752  0.41745105  0.53640833  0.42934798  0.52860295
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[ 0.23711819]
[ 0.62140407  0.51883508  0.55842661  0.3145963   0.38542488  0.46178498
  0.4886493   0.571706    0.54729796  0.46026471]
Progress: 75.7% ... Training loss: 0.313 ... Validation loss: 0.497[ 0.54948167]
[ 0.76635694  0.64242369  0.52441337  0.37112911  0.32303298  0.2583244
  0.54174898  0.65394693  0.58085926  0.51992183]
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  0.395302    0.62413478  0.644671    0.57634079]
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  0.45265379  0.5907933   0.45159957  0.5147697 ]
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[ 0.4368809   0.66172102  0.45462431  0.52945936  0.28930648  0.39646184
  0.51248579  0.64814528  0.60899716  0.28320648]
[ 0.38114581]
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[ 0.5026942]
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  0.43172966  0.57054145  0.60949359  0.50012736]
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[ 0.5862286]
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[ 0.56363499  0.29130957  0.69738259  0.31998685  0.51223275  0.51659799
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[ 0.01903328]
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[ 0.86421279]
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[ 0.18583595]
[ 0.20058969  0.61877322  0.40174939  0.64011822  0.29498923  0.67503771
  0.39174945  0.49746769  0.57556801  0.44883038]
[ 0.4627477]
[ 0.64833964  0.42473671  0.66780279  0.25764961  0.3714993   0.37955713
  0.5418321   0.69449513  0.53109036  0.30816973]
[-1.64239892]
[ 0.41915145  0.67913046  0.36920833  0.5140355   0.20090586  0.40469366
  0.55687045  0.78717582  0.66558437  0.3020164 ]
[ 0.51630257]
[ 0.08941042  0.53930651  0.47395072  0.59862956  0.37779118  0.68901221
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[ 0.44387314  0.39608325  0.6511016   0.23375036  0.44049773  0.52639325
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[ 0.09000253]
[ 0.24111186  0.6007036   0.48461077  0.52448065  0.39546745  0.80259121
  0.42927603  0.52142981  0.47916087  0.57804507]
[-0.16845299]
[ 0.33751073  0.46495373  0.52836975  0.38585328  0.47853892  0.50053999
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[ 0.407314]
[ 0.12678863  0.63303638  0.517491    0.59350189  0.36195431  0.6554329
  0.34979343  0.45314373  0.44782031  0.5035951 ]
Progress: 76.0% ... Training loss: 0.302 ... Validation loss: 0.483[ 0.94341273]
[ 0.41050502  0.26849579  0.71845505  0.34731237  0.43035694  0.45691441
  0.53798178  0.50990643  0.47377714  0.17605393]
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[ 0.65218619  0.66141971  0.50667123  0.33883589  0.47093558  0.55221292
  0.4032008   0.45871418  0.58496988  0.62581915]
[ 1.1140298]
[ 0.30886975  0.55820189  0.46264507  0.45609816  0.37881168  0.45665127
  0.43833687  0.50931813  0.46000423  0.4866221 ]
[ 0.04056101]
[ 0.1759839   0.46143748  0.58683333  0.3206532   0.59774084  0.60064753
  0.44113091  0.3476275   0.41899197  0.44486252]
[ 0.0489468]
[ 0.49881902  0.64619314  0.39255921  0.52035183  0.32407555  0.38586569
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[ 0.16966406]
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[ 0.11685124]
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[ 0.07746258]
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[ 0.03479532]
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[ 0.46011175]
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[ 0.59408559]
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[ 0.25656985]
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[ 0.32416713]
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  0.35265144  0.32300327  0.34408006  0.46172527]
[ 1.28756425]
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[ 0.49132014]
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[ 0.24487051]
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[ 0.02776858]
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[ 1.84110234]
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[ 1.17661822]
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[ 0.27053709]
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[ 0.18431871]
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[ 0.21807652]
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[ 1.38684761]
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[ 0.1948286]
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[ 0.08197642]
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[ 0.61011885]
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[ 0.10061671]
[ 0.48561692  0.53420769  0.57754857  0.49074912  0.39461672  0.4582974
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[ 0.30111933]
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[ 0.02459168]
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[ 0.21801397]
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[ 1.21152418]
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[ 0.67047901]
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[ 0.32837563  0.4270054   0.52711257  0.58453652  0.28346188  0.5457811
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[ 1.27370762]
[ 0.4307425   0.59629954  0.39241724  0.58442652  0.35140847  0.42260066
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[ 0.68282457  0.60701487  0.58028754  0.42571694  0.40571848  0.55806118
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[ 0.16939365]
[ 0.17383819  0.51949941  0.50309406  0.48282367  0.46810091  0.67298661
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[ 0.43800818  0.7144246   0.4033735   0.69951684  0.41660504  0.59821436
  0.41304805  0.48782304  0.62502552  0.48816683]
[ 0.58023113]
[ 0.46580057  0.7479492   0.3378071   0.58517917  0.36391834  0.49931463
  0.50203408  0.56056267  0.64052592  0.48295522]
[-0.24213532]
[ 0.54732548  0.51820542  0.50232908  0.31257899  0.41203854  0.61311719
  0.44346937  0.5258154   0.4916994   0.47795616]
[ 0.38138565]
[ 0.12668821  0.63651449  0.40322833  0.56782078  0.40644085  0.81650376
  0.31608006  0.50911208  0.47121287  0.50670289]
[ 0.05949143]
[ 0.30679877  0.67380391  0.46596769  0.53219945  0.33649034  0.61994262
  0.58124517  0.6202995   0.5258059   0.51963469]
[ 0.24520912]
[ 0.2358075   0.52110316  0.44239585  0.58185555  0.44072706  0.75208958
  0.4560456   0.46311402  0.43492629  0.55587354]
Progress: 76.3% ... Training loss: 0.301 ... Validation loss: 0.475[-0.37393037]
[ 0.28747535  0.31561681  0.70330959  0.32827852  0.50405536  0.6175681
  0.44686208  0.3668199   0.44309373  0.3254049 ]
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[ 0.2006298   0.51509163  0.4837117   0.4249162   0.41916818  0.60218842
  0.39327035  0.46463769  0.54561019  0.3788818 ]
[ 0.03631744]
[ 0.33695223  0.59681043  0.44006673  0.38844627  0.44030147  0.72843385
  0.4814338   0.50215137  0.42251077  0.56113093]
[ 0.40534808]
[ 0.45086888  0.6513452   0.42217369  0.48273468  0.30095638  0.34782868
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[ 0.13098156  0.45755896  0.47847216  0.54534205  0.49591066  0.67633406
  0.42290691  0.63157133  0.29795764  0.38373568]
[ 0.20732169]
[ 0.28438591  0.62949791  0.48759766  0.58433854  0.57443661  0.77306673
  0.39815963  0.464026    0.4527148   0.58891185]
[ 0.75967112]
[ 0.70946922  0.5685596   0.57410821  0.33103546  0.42957074  0.3839691
  0.63689007  0.50780382  0.66129636  0.40688822]
[-0.0536133]
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  0.4700842   0.52280661  0.49484257  0.41837116]
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[ 0.27894647]
[ 0.36039867  0.39567311  0.67212797  0.30083567  0.52434961  0.59240548
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[ 0.13633986]
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[ 0.45294211]
[ 0.67470205  0.62072234  0.49985162  0.3796022   0.40275936  0.33331543
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[ 0.53793459]
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[-0.6315955]
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[ 0.78669654]
[ 0.42613234  0.49349037  0.60770004  0.30567592  0.39731144  0.58796252
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[ 0.05844053]
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[ 0.43050223  0.71455029  0.43567181  0.59769561  0.4838074   0.61114595
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[ 0.12357315]
[ 0.2841561   0.50857226  0.57252081  0.47236408  0.54791433  0.77918678
  0.52733444  0.42819438  0.42457012  0.59992708]
[-1.10992767]
[ 0.4871795   0.36939652  0.72034375  0.22904017  0.30075413  0.39905717
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[ 0.07142602]
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  0.52968424  0.54164707  0.5370126   0.55258105]
[-0.35253975]
[ 0.26616654  0.57544892  0.45458701  0.69790026  0.44597867  0.66651519
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[-1.14142458]
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[ 0.12403754]
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[-0.15395313]
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[ 0.05622264]
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[ 0.32543976]
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[ 0.25499634  0.6927245   0.42614943  0.69492742  0.30821693  0.67563386
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[ 0.17594953]
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[ 0.99705971]
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[-1.57740479]
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[ 0.21926091  0.72831701  0.4197149   0.69520305  0.34537134  0.70506351
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[ 0.27480646  0.5103364   0.60017796  0.33799234  0.45680258  0.61097088
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[ 0.17112085]
[ 0.66814394  0.45279562  0.60339529  0.34382108  0.43632334  0.35045264
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[ 2.03303762]
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[ 0.33842194]
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[ 0.52708375]
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[ 0.14046679]
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[ 0.76208893]
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[ 0.27259752]
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[ 0.0777763]
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[ 0.30926613]
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[ 0.42105588]
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[ 1.10820774]
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[ 0.45974935]
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[ 1.46415385]
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[ 0.28901519]
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[ 0.04048589]
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[ 0.01390872]
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[ 1.14575294]
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[ 0.51525177]
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[ 0.07076932]
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[ 0.35119541]
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[ 0.06238738]
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[ 0.58368766]
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[ 0.44818908]
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[ 0.07142602]
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[ 0.1916388]
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[ 0.00746575]
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[ 0.17719594]
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[ 0.37217331]
[ 0.30969963  0.76043795  0.33226803  0.72178739  0.29005187  0.6091092
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[-1.00865656]
[ 0.30904693  0.40731916  0.52834848  0.42159208  0.48700674  0.35268983
  0.57387561  0.5075678   0.51803737  0.45445955]
[-0.1391463]
[ 0.36662458  0.71068545  0.38354353  0.65251822  0.37216477  0.55287362
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[ 0.66832112  0.5190154   0.5603062   0.42967834  0.52112745  0.5544607
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[ 0.22102673]
[ 0.47997844  0.55723958  0.65100849  0.30460255  0.5486906   0.58614429
  0.42620384  0.47477302  0.55470956  0.52841353]
Progress: 76.6% ... Training loss: 0.300 ... Validation loss: 0.477[-0.6500565]
[ 0.68178552  0.67500701  0.54639735  0.42904249  0.33024797  0.3832969
  0.61599474  0.63275521  0.6414316   0.39652052]
[ 0.29222068]
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  0.42178814  0.67219789  0.63174945  0.54031464]
[ 0.31389574]
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  0.5417901   0.64372329  0.49683963  0.45980713]
[ 1.67540199]
[ 0.61251031  0.49652184  0.57330781  0.39493375  0.21630254  0.28120704
  0.55906603  0.7327773   0.53891088  0.26342226]
[ 1.34821757]
[ 0.50830505  0.42935425  0.45557701  0.54529841  0.30321439  0.30791934
  0.43303602  0.4272535   0.58223519  0.27048376]
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[ 0.5949306]
[ 0.6176685   0.69303862  0.4571224   0.45019451  0.29084814  0.4831854
  0.55449329  0.65738893  0.70825117  0.46999377]
[ 0.2110979]
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[ 0.17901254]
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[ 0.4600766]
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[ 0.73407644]
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[ 0.02124734]
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[ 1.08254123]
[ 0.59825166  0.60831775  0.47428546  0.47605445  0.34638282  0.41519547
  0.59354784  0.6873089   0.66975749  0.28733042]
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[ 0.23346947]
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[ 0.30344433]
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[ 0.91996196]
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[ 0.4438768]
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[ 0.11739596]
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[ 0.03877364]
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[ 0.20387673]
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[ 0.2645207]
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[ 0.24394361]
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[ 0.73245965]
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[ 0.16106245]
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[ 0.74506853]
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[ 0.52248542]
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[ 0.60314897]
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[ 0.48710118]
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[ 0.46317557]
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[ 0.11686571]
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[ 0.0639964]
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[ 0.84609087]
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[ 0.42108002]
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[ 0.47748131]
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[ 0.14530966]
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[ 0.09862679]
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[ 0.34328661]
[ 0.23942894  0.53210141  0.6019763   0.45327667  0.55181063  0.69669079
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[ 0.5599387   0.61163929  0.49221409  0.36625122  0.39300554  0.57895202
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[-0.00204182]
[ 0.5393321   0.66520952  0.55345143  0.44767483  0.48890938  0.56748055
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[-0.84215369]
[ 0.771516    0.73153697  0.54719944  0.35712547  0.43808394  0.5389747
  0.60666538  0.57908405  0.59657492  0.67588505]
Progress: 76.9% ... Training loss: 0.298 ... Validation loss: 0.471[ 0.15754929]
[ 0.29547477  0.6597241   0.43658162  0.60590801  0.52262936  0.69305006
  0.36232215  0.44154587  0.4504714   0.62899113]
[ 0.17422681]
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[ 0.17316938]
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[ 0.95989137]
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[ 1.9406588]
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  0.44116275  0.49158373  0.52744221  0.53544664]
[ 0.26271758]
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[ 0.35589503]
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[ 0.2701105]
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[ 0.57853924]
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[ 0.90495632]
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[ 0.17781147]
[ 0.32837364  0.55692081  0.46715358  0.55887412  0.31979342  0.67705812
  0.42402248  0.5078924   0.43139413  0.51370962]
Progress: 77.1% ... Training loss: 0.361 ... Validation loss: 0.518[-0.92717884]
[ 0.79349383  0.54818331  0.51116989  0.48257808  0.28814079  0.32748652
  0.46939036  0.47543744  0.62672248  0.48654645]
[ 0.63572255]
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[ 0.11256093]
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[ 1.26707548]
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[ 0.58694302]
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[ 1.71967641]
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[ 0.02124834]
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[ 1.33441904]
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[ 0.00121684]
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[ 0.13179942]
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[ 0.22827892]
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[ 0.36542327  0.48972497  0.37395208  0.51815076  0.30923263  0.64398336
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[ 0.22295116  0.62654485  0.46046688  0.54146295  0.38569511  0.79968859
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[ 0.18657212]
[ 0.10996768  0.55787236  0.465044    0.66202018  0.32929871  0.67333707
  0.29547095  0.34789044  0.44765124  0.3795931 ]
[-0.35541015]
[ 0.36834043  0.57781255  0.47808425  0.45132904  0.52412817  0.64715916
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[ 0.42764929  0.54802553  0.40471181  0.37613583  0.38925313  0.62252347
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[-0.77117297]
[ 0.65114461  0.67753549  0.54372906  0.51966883  0.44621349  0.48284362
  0.42469409  0.58284733  0.63302409  0.46995721]
Progress: 77.4% ... Training loss: 0.301 ... Validation loss: 0.461[-0.54510153]
[ 0.37178432  0.49701711  0.46287385  0.57913353  0.34303143  0.58283059
  0.49839584  0.56164834  0.44039434  0.32963302]
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[ 0.33909741]
[ 0.38039895  0.68836493  0.34011176  0.57324883  0.33230474  0.43558517
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[ 0.18859776]
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  0.3674831   0.3012227   0.38284444  0.5785216 ]
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[ 0.90578316]
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[ 0.62368387]
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[ 0.42568351]
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[ 0.15342036]
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[ 0.59627871]
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[ 0.31191865]
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[ 0.04104905]
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[ 0.07820417]
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[ 0.86915527]
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[ 0.28403166]
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[ 0.14466529]
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[ 0.43176457]
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[ 0.02003551]
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[ 0.36523742]
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[ 0.44931707]
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[ 0.27613888]
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[ 0.16131699]
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[ 0.05305115]
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[ 1.24313952]
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[ 0.35442253]
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[ 0.18808623]
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[ 0.03535399]
[ 0.25150709  0.56993048  0.46316155  0.47955151  0.42522283  0.69454874
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[ 0.61085684]
[ 0.23658946  0.59385839  0.35805551  0.7468629   0.56295484  0.76183074
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[ 0.18692258]
[ 0.24365163  0.62524413  0.49415596  0.61676316  0.51500464  0.78524583
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[ 0.01463846]
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  0.44499948  0.50620111  0.6478107   0.45265274]
Progress: 77.7% ... Training loss: 0.307 ... Validation loss: 0.470[ 0.155191]
[ 0.20184628  0.65766293  0.42653231  0.67781114  0.36177978  0.73301604
  0.41662849  0.45249545  0.45136836  0.52045512]
[ 0.07260797]
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[ 0.066932]
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[ 0.33183792]
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[ 0.05141093]
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[ 0.39707481]
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[ 0.18794607]
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[ 0.67947023]
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[ 0.33844959]
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[ 1.76511551]
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[ 1.8095314]
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[ 0.19095867]
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[ 1.48373682]
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[ 0.40705906]
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[ 0.34894559]
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[ 0.10126436]
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[ 0.51228386]
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[ 0.26244869]
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[ 0.05710261]
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[ 0.04696546]
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[ 0.21188382]
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[ 1.07831829]
[ 0.7091736   0.62458241  0.56180395  0.3484575   0.38635835  0.45749243
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[ 0.03826763]
[ 0.41682343  0.75175879  0.48696512  0.64341703  0.32476868  0.60855176
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[-0.42163316]
[ 0.66657851  0.64822794  0.42138722  0.40634333  0.443646    0.47189166
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[-0.14030925]
[ 0.50640313  0.64592396  0.43154918  0.57007969  0.27187051  0.60100449
  0.39831386  0.41067219  0.55160629  0.55335879]
Progress: 78.0% ... Training loss: 0.299 ... Validation loss: 0.472[-0.22039621]
[ 0.56319609  0.59993239  0.49591864  0.48117827  0.42272853  0.53142667
  0.38478267  0.46840611  0.55561264  0.57121902]
[ 0.31831419]
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[ 0.26125387]
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[ 0.47547269]
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[ 0.26830553]
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[ 0.23506133]
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[ 1.39031807]
[ 0.5975758   0.51749621  0.40909057  0.52192891  0.27417775  0.28660314
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[ 0.05892561]
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[ 0.14559959]
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[ 0.15447987]
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[ 0.52569366]
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[ 0.16469335]
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[ 0.15182328]
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[ 0.19748627]
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[ 0.59080216]
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[ 1.93080455]
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[ 0.26790344]
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[ 0.6592234]
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[ 1.02529185]
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[ 2.08562695]
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[ 0.046177]
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[ 0.78585479]
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[ 0.39555914]
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[ 0.14280642]
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[ 0.07393367]
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[ 0.41909576]
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[ 0.12601623]
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[ 0.22985641]
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[ 0.38627605]
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[ 0.09956475]
[ 0.58530964  0.62161583  0.53023242  0.55354876  0.36233451  0.63183385
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[ 0.57895625]
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  0.41378644  0.38435748  0.54426553  0.51564585]
[ 0.22930748]
[ 0.11797859  0.41456073  0.44889404  0.53481234  0.42419138  0.74779403
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[ 0.63454403  0.41604794  0.5456331   0.4122479   0.47271135  0.37402837
  0.45970984  0.43852586  0.59688549  0.38522783]
[ 0.25736451]
[ 0.49074434  0.6091784   0.44528238  0.65548021  0.43163685  0.66472898
  0.52640102  0.60294728  0.51686603  0.54372672]
[-0.33196289]
[ 0.16914922  0.55919285  0.42931319  0.59214132  0.4055528   0.65591119
  0.33858536  0.54758341  0.52151212  0.4019107 ]
[-0.14675078]
[ 0.34625015  0.70611129  0.36669081  0.63341305  0.43107028  0.63054927
  0.36722783  0.54872193  0.45556381  0.66072292]
[-0.27477617]
[ 0.67805908  0.55157256  0.52314182  0.41303465  0.35959488  0.38355032
  0.51727339  0.46491925  0.56889219  0.43498372]
Progress: 78.3% ... Training loss: 0.300 ... Validation loss: 0.478[-0.32094545]
[ 0.49235541  0.68479813  0.4273113   0.65331966  0.25032445  0.55623593
  0.36956364  0.3833261   0.55019463  0.54198801]
[ 0.45741399]
[ 0.66355426  0.7282333   0.46702862  0.62143827  0.45360171  0.36773602
  0.45709394  0.59472037  0.66883697  0.68190833]
[-0.45410436]
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  0.45484689  0.51154251  0.59547392  0.38153853]
[-0.05823766]
[ 0.30511874  0.65272117  0.47052138  0.63535769  0.28872402  0.58273198
  0.50754428  0.60142419  0.50250128  0.45591493]
[-0.59146871]
[ 0.80306705  0.52853223  0.62064271  0.37728405  0.44969633  0.41936032
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[ 0.23842499]
[ 0.32718564  0.78818725  0.36057864  0.68791449  0.2103273   0.65428284
  0.35107339  0.48458518  0.57396775  0.63646068]
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[ 0.27163704  0.72075242  0.28294343  0.69497916  0.34338456  0.70048096
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[ 1.66286937]
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[ 0.12975537]
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[ 0.28734555]
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[ 0.08055867]
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[ 0.63432244]
[ 0.1754222   0.63099358  0.4747711   0.51308463  0.63783086  0.78595178
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[ 0.88892319]
[ 0.37255269  0.53411055  0.45292595  0.50980625  0.33433715  0.51110951
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[ 1.36460769]
[ 0.73237632  0.53051423  0.64665927  0.27336528  0.44934327  0.35596752
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[ 0.20540453  0.44523583  0.52978952  0.60992807  0.34762481  0.63630972
  0.46845911  0.5605768   0.50710649  0.23833323]
Progress: 78.6% ... Training loss: 0.295 ... Validation loss: 0.465[-0.29742903]
[ 0.45688285  0.48445107  0.604268    0.31253185  0.45815927  0.41703654
  0.49098415  0.39792454  0.56882739  0.29799272]
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[ 0.21710942]
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[ 0.2746845]
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[ 0.70137011]
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[ 0.14018745]
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[ 0.11604193]
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[ 0.00501916]
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[ 0.04138476]
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[ 0.47132269]
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[ 0.63897349]
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[ 0.11039111]
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[ 0.5656555]
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[ 0.26276682]
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[ 1.08710064]
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[ 0.81166142]
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[ 0.16164918]
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[ 0.41735498]
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[ 0.02451252]
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[ 0.23886055]
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[ 0.1300464]
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[ 0.31718177]
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[ 0.47148414]
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[ 0.16357287]
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[ 0.03251643]
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[ 0.02835139]
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[ 0.32625785]
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[ 1.18155166]
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[ 0.62391987]
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[ 0.04379808]
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[ 0.31815983]
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[ 0.05989974]
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[ 0.36392115  0.5976014   0.4702138   0.52540134  0.33969932  0.47131742
  0.47398983  0.55061854  0.47863505  0.32871741]
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[ 0.37606615  0.50861177  0.47812633  0.5413633   0.4181172   0.55524092
  0.40291133  0.5014139   0.36410903  0.4390096 ]
[ 0.49449571]
[ 0.77557576  0.54663403  0.55129838  0.25906663  0.43387262  0.42567213
  0.57444851  0.56086052  0.56439721  0.40972169]
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[ 0.43655845  0.27188458  0.73211828  0.25584731  0.60842971  0.68325496
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[ 0.58932386  0.55680566  0.47193549  0.43933735  0.46183381  0.49624705
  0.44290818  0.44899974  0.49556996  0.39234268]
Progress: 78.9% ... Training loss: 0.309 ... Validation loss: 0.480[ 0.53127375]
[ 0.60002068  0.68149685  0.46560807  0.42124533  0.37763784  0.52254074
  0.47631559  0.510584    0.57732783  0.62000339]
[ 0.59091058]
[ 0.13080855  0.58734669  0.3765719   0.57243827  0.36953242  0.71321122
  0.32853246  0.44606469  0.41857117  0.71134281]
[ 0.0388473]
[ 0.52826641  0.55347732  0.45779609  0.46874415  0.35010183  0.59315667
  0.40900567  0.58846886  0.6665537   0.4363646 ]
[ 1.8704149]
[ 0.76397102  0.63897422  0.51398874  0.40431495  0.21571264  0.29078958
  0.55173072  0.62877827  0.63297596  0.35198856]
[ 0.23084894]
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  0.40479453  0.36338664  0.55397164  0.47442515]
[ 0.43444661]
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  0.37223556  0.34184814  0.45096177  0.48222087]
[ 0.2148126]
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[ 0.24312718]
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  0.46696212  0.52059084  0.46769958  0.55068258]
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[ 0.09715293]
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[ 0.12884307]
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[ 0.03038387]
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[ 0.67289578]
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[ 0.59832123]
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[ 0.060038]
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  0.54973876  0.7473687   0.50175411  0.4023447 ]
[ 1.58890511]
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  0.58137882  0.69195915  0.61615575  0.30222913]
[ 0.45940991]
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[ 0.28752686]
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[ 0.26651661]
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[ 0.0594577]
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[ 0.1053905]
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[ 1.91328424]
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[ 0.03331302]
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[ 1.86364056]
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[ 0.42097326]
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[ 2.1025445]
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[ 0.36708806]
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[ 0.10211324]
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[ 0.17524103]
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[ 0.01729891]
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[ 0.65778688]
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[ 1.00134884]
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[ 0.02399407]
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[ 0.40216589]
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[ 1.12247902]
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[ 0.61677584]
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[ 0.42702588]
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[ 0.28159683]
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[ 0.15061152]
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[ 0.15098782]
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[ 0.14535681]
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[ 0.10640389]
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[ 0.25709077]
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[ 0.04033803]
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[ 0.03676372]
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[ 0.03707286]
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[ 0.02416208]
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[ 0.08940073]
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[ 0.99357017]
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[ 0.12446396]
[ 0.62928862  0.50125247  0.48749853  0.37559894  0.32142151  0.39255924
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[ 0.70278232]
[ 0.22318129  0.62507782  0.43361598  0.43624564  0.34435208  0.60787531
  0.35368296  0.53748125  0.46745338  0.49789144]
[ 0.42623483]
[ 0.69738489  0.70067324  0.46767364  0.49962291  0.26798918  0.33245803
  0.47865637  0.50130601  0.5716852   0.5370808 ]
[ 0.39394878]
[ 0.36019395  0.51786035  0.63346636  0.41501027  0.45232897  0.63532581
  0.44935346  0.54216038  0.59654158  0.53278986]
[ 0.3893267]
[ 0.17726402  0.39869281  0.49385833  0.38046662  0.48624436  0.72223935
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[ 0.68672996]
[ 0.09974043  0.54740852  0.56305066  0.60716304  0.32460631  0.8308823
  0.29669399  0.38401138  0.43670499  0.50953705]
Progress: 79.1% ... Training loss: 0.300 ... Validation loss: 0.484[-0.79250437]
[ 0.31324746  0.53741789  0.58947423  0.60209257  0.39401267  0.43673509
  0.36894747  0.55777455  0.60935509  0.30889581]
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[ 0.32269655]
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[ 0.08541176]
[ 0.53574     0.65102653  0.43614192  0.593135    0.27116314  0.54064943
  0.40408419  0.4031048   0.57700437  0.53672695]
[ 0.0475285]
[ 0.69883976  0.50733517  0.54124149  0.3379273   0.36181222  0.27233861
  0.45054423  0.44703408  0.57573775  0.33993629]
[ 1.12353341]
[ 0.54392309  0.47870061  0.5835528   0.45330164  0.34595259  0.40349801
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[-0.43018303]
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  0.36193243  0.4599053   0.47180972  0.48143427]
[ 0.35788575]
[ 0.74538668  0.54745859  0.56293611  0.39768708  0.39584705  0.39432876
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[ 0.37700791  0.58636491  0.50701288  0.22860634  0.42429113  0.44779602
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[ 0.45218113]
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  0.52028571  0.46152624  0.63093983  0.37119213]
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[ 1.56601789]
[ 0.5042075   0.60475295  0.51818214  0.40663929  0.41749696  0.46355283
  0.50626961  0.58992124  0.49131222  0.46700859]
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  0.45111105  0.52538578  0.50500831  0.40059411]
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[ 0.11587882]
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[ 0.13368964]
[ 0.43874616  0.66699446  0.51862548  0.54069455  0.50343154  0.65730981
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[ 1.11429718]
[ 0.5566338   0.46155124  0.64383052  0.36344651  0.4329841   0.56053879
  0.48808202  0.540747    0.49415586  0.44685351]
[ 0.1548513]
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[ 0.19579654]
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[ 0.09939978]
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[ 0.1703533]
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[ 0.21668106]
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[ 0.22453858]
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[ 1.62506589]
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[ 0.19673012]
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[ 0.15938412]
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[ 0.43684446]
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[ 0.28568921  0.55918484  0.48777646  0.40489102  0.45600235  0.44529599
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[ 0.39611224  0.66006066  0.45940052  0.59836011  0.29113698  0.56968876
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[ 1.25933453]
[ 0.69118718  0.58981698  0.48116302  0.51701109  0.26780262  0.41576239
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[-0.68901438]
[ 0.59152357  0.6314654   0.44272376  0.6281166   0.29123812  0.55759002
  0.41881059  0.37824178  0.58305918  0.51468282]
Progress: 79.4% ... Training loss: 0.299 ... Validation loss: 0.465[-0.08527967]
[ 0.4764404   0.59230466  0.46884958  0.48921557  0.36805007  0.43626835
  0.445073    0.51268311  0.58800462  0.60122526]
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[ 0.88264161]
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[ 0.02965442]
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[ 0.15911846]
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[ 0.27585001]
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[ 0.76932346]
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[ 0.13944136]
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[ 0.23725266]
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[ 0.34938345]
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[ 0.65388592]
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[ 0.26107257]
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[ 0.83284291]
[ 0.71299786  0.56849809  0.57550747  0.3298755   0.43152561  0.38693564
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[ 0.08490368]
[ 0.49244405  0.7353094   0.40478796  0.52798861  0.32019591  0.59674304
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[ 0.18895497  0.35403858  0.61403373  0.42163912  0.3381279   0.45891393
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[ 0.38240391  0.54797307  0.41562289  0.51811113  0.31242396  0.67674928
  0.42804026  0.59302724  0.37648194  0.48075036]
Progress: 79.7% ... Training loss: 0.297 ... Validation loss: 0.464[ 0.27659825]
[ 0.11301202  0.70314022  0.51064643  0.60870969  0.32419772  0.77222872
  0.33896149  0.40302058  0.48223036  0.52828808]
[ 0.46342771]
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[ 0.23651093]
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[ 0.13054224]
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[ 0.19069907]
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[ 0.21282872]
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[ 0.12148709]
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[ 0.14312244]
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[ 0.14391741]
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[ 0.00289216]
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[ 0.15657156]
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[ 0.40759937]
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[ 0.02236939]
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[ 0.40180958]
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[ 0.23529022]
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[ 1.56636468]
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[ 0.05721002]
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[ 0.05066447]
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[ 0.41384623]
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[ 0.37072296]
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[ 0.01990739]
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[ 0.20014295]
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[ 0.47312855]
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[ 0.10239666]
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[ 0.11167709]
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[ 0.08973316]
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[ 0.08954192]
[ 0.40911069  0.75883747  0.46670396  0.47503361  0.53315966  0.73190413
  0.43971495  0.45176605  0.52697652  0.72721079]
[ 0.00341866]
[ 0.47614565  0.68086857  0.47085863  0.60360789  0.27378152  0.66606796
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[ 0.46649268  0.53884033  0.57811655  0.66042838  0.45387462  0.51315608
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[-0.72303512]
[ 0.66424113  0.64048896  0.5212371   0.45548438  0.50790741  0.51153609
  0.59447948  0.49663109  0.58508217  0.56628342]
Progress: 80.0% ... Training loss: 0.297 ... Validation loss: 0.464[-0.36870229]
[ 0.64735655  0.57392291  0.4687543   0.44204442  0.39421377  0.49268393
  0.53799854  0.4649317   0.58410117  0.60562515]
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[ 1.13272857]
[ 0.59661722  0.60524866  0.47771213  0.37397932  0.30933696  0.28667531
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[ 0.00891738]
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[ 0.12130988]
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[ 0.21136138]
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[ 0.03822998]
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[ 0.06847471]
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[ 0.4189739]
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[ 0.31745009]
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[ 0.02018695]
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[ 0.43280489]
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[ 0.00586844]
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[ 0.26371434]
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[ 0.25160662]
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[ 0.54389018]
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[ 0.36646503]
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[ 0.25919812]
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[ 1.70453869]
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[ 0.60401492]
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[ 0.17569233]
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[ 0.02870794]
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[ 1.04216815]
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[ 0.34712308]
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[ 0.90529185]
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[ 0.09236806]
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[ 1.11554579]
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[ 0.02236779]
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[ 0.13533805]
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[ 1.31763109]
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[ 0.00374038]
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[ 0.09923285]
[ 0.42938619  0.65103308  0.41792251  0.65644214  0.26884633  0.6957127
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[ 0.04604982]
[ 0.20501597  0.71461668  0.45020709  0.6606631   0.35575352  0.75508559
  0.43629     0.50096451  0.51599542  0.53556447]
[ 0.0121844]
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  0.4198882   0.66887922  0.46134394  0.18683014]
[ 0.32229396]
[ 0.17222548  0.66125203  0.45262404  0.68271138  0.41010787  0.76125168
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[ 0.03247615]
[ 0.48786106  0.56273382  0.53907272  0.49716201  0.43223746  0.56470416
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[ 0.13397143]
[ 0.36838068  0.48536182  0.64111938  0.37504694  0.51190642  0.63240601
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[ 1.77956416]
[ 0.74643246  0.65884006  0.5266829   0.22448339  0.29164666  0.22118156
  0.62270316  0.74070277  0.62049083  0.3361861 ]
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[ 0.44989986  0.67504903  0.35973005  0.65851207  0.42539716  0.55707083
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[ 0.42291401  0.35929145  0.60396079  0.28861489  0.5348864   0.68924098
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[ 0.80009345]
[ 0.65351967  0.51576841  0.52596383  0.41877389  0.31140364  0.43946607
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[ 0.09872919]
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[ 0.25131299]
[ 0.316039    0.83800915  0.3589271   0.72325642  0.43213936  0.70140181
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[ 0.77963035]
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[ 0.40575358]
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[ 0.12843626]
[ 0.49718116  0.59631684  0.41788025  0.69259976  0.33667253  0.61119814
  0.3940175   0.39127421  0.54310742  0.59143379]
[ 0.04279338]
[ 0.67369007  0.52027337  0.60048928  0.26380758  0.40628138  0.40370373
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[-0.14227488]
[ 0.61512965  0.64106958  0.45930425  0.57953633  0.2587662   0.53422448
  0.39768151  0.35967083  0.56466367  0.53523409]
[ 1.50708678]
[ 0.62740806  0.66002358  0.58204362  0.3629434   0.49933107  0.40431763
  0.48732466  0.5787142   0.55779253  0.49751521]
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[ 0.77971882  0.54764868  0.50309007  0.49678727  0.3026173   0.362116
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[-0.00134442]
[ 0.64631337  0.29973243  0.6653129   0.34486644  0.36778207  0.35139429
  0.53220915  0.65403335  0.43194647  0.31548142]
[-0.77293791]
[ 0.57443144  0.71398371  0.4506071   0.60535568  0.30938655  0.27124891
  0.50152979  0.74588664  0.6583226   0.36380295]
[-0.38336529]
[ 0.37387779  0.57193823  0.48298641  0.58722546  0.46712366  0.68802775
  0.40988003  0.47862348  0.57550681  0.51184316]
[ 0.14905662]
[ 0.64204074  0.74700999  0.4186739   0.53119085  0.39948188  0.67765748
  0.53043328  0.48989984  0.59714148  0.61663723]
[-0.46054968]
[ 0.31490684  0.60048469  0.44791683  0.64286538  0.31491524  0.65265396
  0.44985433  0.51112007  0.44301984  0.43560389]
Progress: 80.3% ... Training loss: 0.295 ... Validation loss: 0.463[ 0.44369342]
[ 0.54904542  0.80710353  0.4772731   0.56806296  0.34032723  0.53007681
  0.52421561  0.62554493  0.60486729  0.65812074]
[-0.52076202]
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[-0.15859442]
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  0.44472496  0.57808582  0.46457112  0.62710815]
[ 0.46826944]
[ 0.5016957   0.52524956  0.44739042  0.53871742  0.36777663  0.42463279
  0.39080124  0.44433021  0.4951786   0.49999727]
[ 0.93964464]
[ 0.63892066  0.55067837  0.53048183  0.5766115   0.4518723   0.46541948
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[ 0.34314411  0.65800139  0.36417948  0.5913528   0.2926174   0.67496667
  0.42990507  0.85241066  0.58323024  0.36396056]
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[ 0.38305826  0.6619306   0.44940537  0.29462098  0.26745298  0.39178645
  0.45673778  0.70628251  0.61586842  0.27991478]
[ 0.32552375]
[ 0.15622258  0.60650157  0.5018708   0.53726072  0.35681678  0.68664404
  0.35190495  0.42544638  0.50472241  0.45279363]
[ 0.00730753]
[ 0.36251711  0.45507981  0.43324656  0.59653117  0.35524224  0.71133982
  0.38080639  0.57574341  0.42401319  0.47029275]
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  0.38414661  0.56065438  0.60402407  0.47594438]
[ 0.90033565]
[ 0.7523172   0.59571526  0.50118638  0.4919994   0.25690549  0.40942398
  0.43493914  0.40211873  0.6479073   0.43889944]
[-0.1881223]
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[ 0.0593948]
[ 0.39968565  0.59675677  0.5132313   0.35710163  0.22438002  0.43367446
  0.53368737  0.6629843   0.67159654  0.25294375]
[ 0.99644732]
[ 0.72948247  0.56618985  0.5143537   0.46984891  0.27679816  0.28404712
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[ 0.22546371]
[ 0.26978872  0.57701458  0.41389437  0.64475724  0.48091698  0.61454842
  0.40281182  0.37672479  0.49429092  0.6449343 ]
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  0.37109745  0.55397634  0.49354269  0.54825336]
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[ 0.57042837  0.67947218  0.46608139  0.46915819  0.3533803   0.56118661
  0.58142308  0.6127333   0.56509165  0.529553  ]
[-1.25964809]
[ 0.43517868  0.66078717  0.45599977  0.48779569  0.31442711  0.38252577
  0.55372891  0.68417874  0.6267714   0.28069986]
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[ 0.65177926]
[ 0.25666382  0.50101545  0.5908029   0.3158432   0.36792901  0.42680102
  0.53199846  0.58800437  0.57985051  0.22317236]
[ 0.44240339]
[ 0.21690716  0.46274269  0.41093045  0.3617646   0.52941419  0.78818781
  0.30706806  0.3946771   0.33686754  0.5580376 ]
[ 0.14145926]
[ 0.20238379  0.53855621  0.54436499  0.54366269  0.27944446  0.69262727
  0.34553066  0.63445803  0.49490093  0.39845254]
[-0.0343387]
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[ 0.16700899]
[ 0.22311224  0.56351031  0.46749854  0.54040745  0.39914852  0.58545392
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[ 0.29809448]
[ 0.25840466  0.49278617  0.56109259  0.51695204  0.23159304  0.7158693
  0.36689565  0.59271056  0.4741035   0.33778283]
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[ 0.4428961   0.72536615  0.32209447  0.65698333  0.27836465  0.44261577
  0.4301121   0.40854988  0.70821806  0.44868881]
[ 0.43898639]
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  0.3906061   0.36084934  0.48270946  0.62992124]
[ 0.07096916]
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[ 0.78297441]
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[ 0.34973091]
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[ 0.40052505]
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[ 0.4001607]
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[ 0.18526498]
[ 0.3220896   0.44094327  0.41094872  0.63274262  0.32118652  0.52279388
  0.40031874  0.42923687  0.50351732  0.40628237]
[ 0.0681285]
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[ 0.5517173   0.71824102  0.5376609   0.48775301  0.4013472   0.6145919
  0.49603514  0.4419882   0.55759015  0.57612646]
[ 2.2706611]
[ 0.49481361  0.65753884  0.50067061  0.41406006  0.2974497   0.51960618
  0.44235197  0.58746913  0.60508029  0.44966706]
[ 1.54881366]
[ 0.65020883  0.42957194  0.60345826  0.33861139  0.37012091  0.44173481
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[ 0.33321954  0.38918624  0.68294286  0.27484459  0.4896678   0.54688207
  0.4567658   0.39607552  0.45066839  0.44110486]
[ 1.59383657]
[ 0.62619444  0.7014643   0.41780448  0.46684913  0.23534121  0.33103504
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[ 0.71083286  0.67293725  0.457861    0.49516675  0.2159328   0.26822067
  0.52176396  0.53883814  0.69370747  0.30498245]
[ 1.16754395]
[ 0.52818459  0.70479632  0.45182779  0.54189268  0.28215635  0.49224319
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[ 1.16547721]
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[ 0.13899591]
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[ 0.15503183]
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[ 0.00209688]
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[ 1.09548352]
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[ 2.01914179]
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[ 0.54978058]
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[ 0.56177651]
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[ 0.51700321]
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[ 0.26055483]
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[ 1.72832919]
[ 0.71851767  0.55991948  0.62627963  0.32452486  0.45637196  0.42682662
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[ 0.39959469  0.52827968  0.58880091  0.39966752  0.49700241  0.50729542
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[ 0.0669998]
[ 0.44039397  0.59229366  0.49803085  0.51136558  0.38655524  0.4049609
  0.47049231  0.46617217  0.55881922  0.55991448]
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[ 0.4026959   0.23314097  0.76297038  0.2035143   0.63476629  0.54924516
  0.4816201   0.36768456  0.29090139  0.43305349]
[ 0.88401019]
[ 0.39671057  0.42310708  0.68081049  0.25326453  0.51622047  0.54265174
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[ 0.52836202  0.59974654  0.5513466   0.44491789  0.39643984  0.48487211
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[-0.02326692]
[ 0.21887286  0.43785556  0.63030111  0.57187252  0.40050693  0.71654309
  0.34111805  0.44802102  0.48730249  0.42850215]
Progress: 80.6% ... Training loss: 0.295 ... Validation loss: 0.458[-0.18991919]
[ 0.64570957  0.53762175  0.5597974   0.40966825  0.31249712  0.31858268
  0.50563931  0.6575026   0.54895322  0.3794608 ]
[ 0.20215533]
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  0.5518554   0.49343347  0.51484469  0.3823768 ]
[ 0.44599753]
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[ 0.37176986]
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[ 0.19757144]
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  0.32199909  0.3761091   0.40646526  0.26515255]
[ 0.08375867]
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  0.40318046  0.34497921  0.61426449  0.65661994]
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  0.52456409  0.61859136  0.60270639  0.39600108]
[ 0.26497929]
[ 0.50320249  0.59460225  0.50699195  0.58281458  0.37558005  0.44808185
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[ 0.07327296]
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[ 0.57177941]
[ 0.15653911  0.66780116  0.46087924  0.46220702  0.49320549  0.79573866
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[ 0.68985471]
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  0.3751744   0.4504909   0.58302023  0.51108104]
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  0.48001985  0.42818009  0.33260226  0.56127165]
[ 0.0275778]
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  0.4443604   0.59358695  0.52068696  0.52009802]
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[ 0.22007566]
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[ 0.27665714]
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[ 0.19702175]
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[ 0.57028963]
[ 0.1929186   0.26806893  0.68916929  0.33595919  0.63666764  0.74987553
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[ 0.2737954   0.62324436  0.40217338  0.51915557  0.28138747  0.61219341
  0.39481739  0.57735091  0.44287865  0.32765117]
[ 0.37341622]
[ 0.21797074  0.5755462   0.42210591  0.53587717  0.40485806  0.60504619
  0.44147024  0.56357474  0.43988893  0.32810845]
[ 1.47384105]
[ 0.60682668  0.3321911   0.64202826  0.35536397  0.4183136   0.46103983
  0.51914546  0.56408149  0.45166571  0.27470298]
[-0.26906286]
[ 0.44047651  0.44188471  0.71901048  0.36582253  0.56294642  0.60085636
  0.4569444   0.44989106  0.4142585   0.38771033]
[-0.26431438]
[ 0.33267815  0.34023467  0.6862128   0.26771487  0.41002915  0.53562445
  0.46136997  0.4546124   0.47498101  0.25994234]
Progress: 80.9% ... Training loss: 0.297 ... Validation loss: 0.459[ 0.03308722]
[ 0.21121564  0.4213231   0.6302911   0.58204846  0.37252513  0.7589217
  0.3567821   0.36286021  0.40236918  0.38194026]
[ 0.07117052]
[ 0.46161933  0.76307421  0.37319233  0.54142061  0.39534246  0.65610977
  0.36448207  0.36327293  0.54826752  0.73164548]
[ 0.07678608]
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  0.34451528  0.4686165   0.36267405  0.6549134 ]
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  0.44648087  0.57483579  0.5245356   0.42536071]
[ 1.29164204]
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[ 0.22591991]
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[ 0.56010477]
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[ 0.21085404]
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[ 0.27983056]
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[ 0.42414684]
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[ 0.39111722]
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[ 1.14690671]
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[ 0.47239786]
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[ 0.36194795]
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[ 0.43714172]
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[ 1.51803429]
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[ 0.41017797  0.55840899  0.36856561  0.58498653  0.43345114  0.53063074
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[ 0.14634416]
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[ 0.41325765]
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[ 0.7134719   0.2400129   0.68736512  0.35862604  0.5590064   0.57268091
  0.49156939  0.50996316  0.33425264  0.39252759]
[ 0.09564084]
[ 0.57889211  0.57984898  0.51389652  0.5048938   0.34278405  0.46837821
  0.5974008   0.607194    0.55615602  0.43520565]
[ 0.09989887]
[ 0.26777576  0.2211408   0.79560861  0.30265879  0.46879477  0.59784238
  0.47323021  0.45509548  0.42744759  0.2585233 ]
[ 1.75853823]
[ 0.63860653  0.54144133  0.48152392  0.33812603  0.25285891  0.19364553
  0.55590925  0.66579298  0.59369007  0.30987531]
Progress: 81.1% ... Training loss: 0.302 ... Validation loss: 0.459[ 0.18169176]
[ 0.26125097  0.69268633  0.31148297  0.69565283  0.38831922  0.68189849
  0.44365296  0.43511267  0.38658971  0.64478492]
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  0.5290554   0.60646547  0.4177171   0.46026066]
[ 1.05447081]
[ 0.48380578  0.55655516  0.42263332  0.57331734  0.33134135  0.53240367
  0.47981203  0.5807603   0.57930672  0.40195936]
[ 0.06192172]
[ 0.2265653   0.71521376  0.4474182   0.45225297  0.46965932  0.67423222
  0.3641668   0.4990638   0.55569598  0.71560546]
[ 0.37444263]
[ 0.20545057  0.65482258  0.47262357  0.58519823  0.41098147  0.80428616
  0.37132048  0.57094546  0.52775072  0.50704357]
[ 0.02568966]
[ 0.60652155  0.58854131  0.49851514  0.4015609   0.36118223  0.44285873
  0.51244235  0.54599412  0.55295684  0.50017465]
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[ 1.06504817]
[ 0.73089236  0.4428325   0.59555373  0.32744701  0.39375732  0.33465218
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[ 0.29161764]
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[ 0.19728648]
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[ 0.4902444]
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[ 0.55215813]
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[ 0.15177737]
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[ 0.28973462]
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[ 0.90796229]
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[ 0.0254333]
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[ 0.09432363]
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[ 0.03336794]
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[ 0.09334925]
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[ 0.81601301]
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[ 0.58888129]
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[ 0.01854671]
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[ 0.35163119]
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[ 0.10364617]
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[ 0.74229463  0.53966815  0.54560551  0.47288489  0.38224552  0.33878118
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[ 0.20029895  0.38783723  0.55045345  0.61235467  0.3999905   0.57476445
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[ 1.03065614]
[ 0.70670339  0.46431286  0.55837885  0.37259327  0.38234147  0.36468691
  0.45303912  0.486205    0.57961137  0.39460298]
Progress: 81.4% ... Training loss: 0.316 ... Validation loss: 0.484[ 1.17804101]
[ 0.29898506  0.69822299  0.48720921  0.39963756  0.33270193  0.36029848
  0.50089724  0.59498602  0.64798328  0.33976416]
[ 0.14171378]
[ 0.31230824  0.2949087   0.64452976  0.40058679  0.56624696  0.67278869
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[ 1.09748157]
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[ 0.13623609]
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[ 0.36122012]
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[ 0.18487598]
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[ 0.62800966]
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[ 0.24292893]
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[ 0.67940313]
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[ 0.01242638]
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[ 0.84628126]
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[ 0.01732267]
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[ 0.23117975]
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[ 0.63052052]
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[ 0.30559073]
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[ 1.042756]
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[ 2.37037689]
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[ 0.10374485]
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[ 0.61709958]
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[ 2.20236961]
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[ 1.87577166]
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[ 1.37092904]
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[ 0.5621023]
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[ 0.10093119]
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[ 0.20987277]
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[ 0.12257553]
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[ 2.18564843]
[ 0.71115516  0.47876956  0.56782278  0.29472165  0.46166233  0.5709012
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[ 0.24414257  0.52125725  0.60768341  0.2950552   0.48975395  0.46991993
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[ 0.34792457]
[ 0.53148128  0.69349165  0.53800033  0.48520122  0.47147813  0.63970454
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[ 0.37267538  0.66188862  0.44802102  0.29519233  0.26849531  0.40228792
  0.45380281  0.70398024  0.61333295  0.28193835]
Progress: 81.7% ... Training loss: 0.369 ... Validation loss: 0.502[ 0.56193062]
[ 0.16327867  0.63091311  0.47282441  0.51396001  0.63904425  0.80004557
  0.29501002  0.44091157  0.35249427  0.62459638]
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[ 0.05907404]
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[ 0.47680652]
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[ 0.24217578]
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[ 0.17089121]
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[ 1.10667822]
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[ 0.40406592]
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[ 0.06717665]
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[ 1.40121909]
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[ 0.37443923]
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[ 0.66615411]
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[ 0.05150224]
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[ 0.09508598]
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[ 0.83657408]
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[ 0.1178283   0.35252738  0.50641561  0.6742584   0.37109528  0.65416953
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[ 0.14244294  0.70292068  0.37579095  0.53095821  0.37216071  0.69906516
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[ 0.50228325  0.35646924  0.6844037   0.26603836  0.5395172   0.47177512
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[ 0.74000934  0.49267225  0.68172442  0.41282138  0.46087522  0.37991542
  0.56624525  0.67103826  0.53954716  0.33711084]
Progress: 82.0% ... Training loss: 0.354 ... Validation loss: 0.517[ 0.19674654]
[ 0.16301306  0.5371212   0.40853974  0.42887213  0.44326119  0.73112678
  0.39107022  0.38533453  0.48558887  0.46552565]
[ 0.09728148]
[ 0.48790364  0.5114517   0.56025099  0.6059786   0.54055532  0.59529272
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[ 0.30603224]
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  0.37598763  0.49515632  0.49159763  0.46591099]
[ 0.39039211]
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[ 0.25259763]
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[ 0.93233273]
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[ 0.07737145]
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[ 0.27897706]
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[ 0.28280706]
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[ 0.14413139]
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[ 0.24068415]
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[ 0.09405945]
[ 0.5304466   0.67526362  0.54054382  0.44971279  0.43225767  0.61062399
  0.53064106  0.53123381  0.58646766  0.59055189]
[ 1.14699799]
[ 0.69481117  0.54705159  0.47578507  0.52422594  0.25802207  0.26929842
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[ 1.97756221]
[ 0.80902861  0.61077047  0.52435274  0.30336887  0.25508692  0.21109451
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[ 1.8384234]
[ 0.66774372  0.41884412  0.58285608  0.36879906  0.39418827  0.37831071
  0.52324645  0.58790803  0.42209244  0.35870837]
Progress: 82.3% ... Training loss: 0.307 ... Validation loss: 0.470[ 0.33900624]
[ 0.12543348  0.58515557  0.46579495  0.49174148  0.54380866  0.66549945
  0.40323056  0.26272407  0.39786835  0.53364385]
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[ 0.56428317]
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[ 1.22767575]
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[ 0.09037571]
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[ 0.33306951]
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[ 0.53941253]
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[ 1.41947671]
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[ 0.52331149]
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[ 0.02268255]
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[ 0.20477888]
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[ 1.31806335]
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[ 0.24529421]
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[ 0.08446278]
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[ 0.00734479]
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[ 0.80672708]
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[ 0.30211535]
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[ 0.31622771]
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[ 0.25637918]
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[ 0.11540302]
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[ 0.11988846  0.53996295  0.44927753  0.64451999  0.38741872  0.62055877
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[ 0.65021939  0.548351    0.54334721  0.41606141  0.47400131  0.3988991
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[-0.40524506]
[ 0.80086362  0.54504541  0.59740496  0.29853472  0.47724873  0.43674371
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[ 0.34399847  0.50035521  0.63949805  0.35085509  0.3322455   0.46522135
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[ 0.24994171  0.49272955  0.45692709  0.60312049  0.38892834  0.65938167
  0.3960483   0.42561362  0.42349624  0.40410519]
Progress: 82.6% ... Training loss: 0.320 ... Validation loss: 0.493[ 0.47539653]
[ 0.13691781  0.42315647  0.63489065  0.43851029  0.4202753   0.8467272
  0.363064    0.38567944  0.37494788  0.50871277]
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[ 0.17385532]
[ 0.32291986  0.6510106   0.32007111  0.6886341   0.40229634  0.58873445
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[ 1.00177964]
[ 0.43639722  0.64289326  0.55010284  0.57226198  0.43098061  0.55940147
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[ 0.0863276]
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[ 0.1875355]
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[ 0.45612763]
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[ 0.33665282]
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[ 0.33773432]
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[ 0.44922651]
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[ 0.30783328]
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[ 0.23083406]
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[ 0.65580777]
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[ 0.41067533]
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[ 0.00667681]
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[ 0.64082919]
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[ 0.4131037]
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[ 0.38080015]
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[ 0.01042823]
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[ 0.65596065]
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[ 0.26400933]
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[ 1.09869095]
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[ 1.46652912]
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[ 0.59039865]
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[ 1.06692229]
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[ 1.58503544]
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[ 0.09061885]
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[ 0.98977754]
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[ 0.00355628]
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[ 0.33364733]
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[ 0.08878324]
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[ 2.24655841]
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[ 1.26676754]
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[ 0.09843547]
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[ 0.20777418]
[ 0.19921667  0.46823001  0.56603206  0.3850933   0.50300213  0.7392697
  0.39074026  0.4993858   0.46339177  0.56311122]
[ 0.21696118]
[ 0.16101291  0.56484727  0.44965149  0.569069    0.44566753  0.63202571
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[ 0.68292247  0.42258218  0.69055893  0.32453635  0.51024113  0.41965122
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[ 0.59625214  0.59249891  0.61582806  0.31080744  0.43587593  0.63444551
  0.44332274  0.58479393  0.49063912  0.5428097 ]
Progress: 82.9% ... Training loss: 0.298 ... Validation loss: 0.463[-0.49583021]
[ 0.5369849   0.67777463  0.48006651  0.42430586  0.32670651  0.45638375
  0.42963436  0.50584554  0.59205444  0.47607324]
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[ 0.24824453]
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[ 0.52009633]
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[ 1.03763255]
[ 0.60395795  0.57835886  0.52627233  0.33765411  0.29101216  0.29324202
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[ 0.04855426]
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[ 0.02975326]
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[ 0.85351951]
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[ 0.56287915]
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[ 0.32227494]
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[ 0.19823345]
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[ 0.13712296]
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[ 0.19928829]
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[ 1.11168374]
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[ 0.62179776]
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[ 0.09866566]
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[ 0.14960702]
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[ 0.47414489]
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[ 0.15774274]
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[ 0.74850882]
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[ 1.78056451]
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[-0.68521496]
[ 0.52533791  0.67025275  0.49660006  0.65500299  0.41372493  0.61802236
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[ 0.63562106  0.62327611  0.50689114  0.37929783  0.21662338  0.31613055
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[ 0.56891434  0.67097138  0.57479621  0.59241912  0.39757783  0.42631546
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[-0.58942998]
[ 0.30445067  0.76635785  0.38606645  0.53683335  0.25308618  0.62712868
  0.43381344  0.46952919  0.63348409  0.58716685]
[-0.18219476]
[ 0.44711082  0.54156722  0.42543552  0.599255    0.43646994  0.51039272
  0.48184475  0.50240673  0.46209555  0.51099553]
[ 0.17418502]
[ 0.59771586  0.42255793  0.63463217  0.36453822  0.36806019  0.45928675
  0.60903369  0.70881056  0.4604495   0.34480558]
[ 0.20534231]
[ 0.16611169  0.69913231  0.4594831   0.35665968  0.35784512  0.78472813
  0.3855902   0.43415384  0.44587463  0.54202853]
Progress: 83.1% ... Training loss: 0.312 ... Validation loss: 0.498[-0.58524643]
[ 0.51391619  0.7062786   0.51022644  0.51089012  0.4393087   0.6444951
  0.46819382  0.47205119  0.62970899  0.60067712]
[-0.63520067]
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  0.4432759   0.6359594   0.63661887  0.39750908]
[ 0.20436865]
[ 0.82778326  0.54277195  0.64875533  0.39014223  0.40910664  0.38412915
  0.58704016  0.7011598   0.5497715   0.42949832]
[ 0.23987246]
[ 0.54528794  0.48560493  0.5228592   0.34421594  0.46269567  0.34115446
  0.63137268  0.60443365  0.49759347  0.3342241 ]
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  0.44382742  0.36618761  0.40392212  0.27873633]
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  0.46352941  0.43429907  0.54016586  0.65063064]
[ 0.24821324]
[ 0.25001967  0.46159397  0.5644959   0.3052217   0.53437246  0.73282859
  0.42301528  0.32400009  0.38662904  0.44982574]
[ 0.10250267]
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  0.40963581  0.52189946  0.56836162  0.66214878]
[ 0.84762755]
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  0.4403015   0.44095424  0.49320476  0.47694654]
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  0.51763487  0.55588864  0.58301491  0.64382122]
[-0.06404914]
[ 0.21247621  0.59083169  0.3825141   0.6612221   0.32944455  0.7255341
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[ 0.18872647]
[ 0.21319767  0.7229483   0.40091712  0.62165526  0.29324918  0.76675141
  0.43755245  0.60652294  0.5231048   0.56172719]
[-0.81218737]
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[ 0.20391546]
[ 0.21167602  0.40118971  0.44783474  0.65688026  0.46468545  0.77645747
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[ 0.16027922]
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[ 0.16066594]
[ 0.2596587   0.55714289  0.50452267  0.29058124  0.46021977  0.75263364
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[ 0.90059039]
[ 0.66174071  0.59966916  0.47310319  0.32266028  0.35073346  0.29193536
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[ 0.30252528  0.47370925  0.46677413  0.55949802  0.42948123  0.65572514
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[ 0.53481514  0.61471025  0.46865614  0.49734127  0.30328736  0.36369281
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[ 0.32919077  0.61989707  0.46936096  0.49224303  0.49846331  0.58663194
  0.46318483  0.38190888  0.3898307   0.52048292]
Progress: 83.4% ... Training loss: 0.295 ... Validation loss: 0.477[ 0.24287515]
[ 0.18344291  0.55621339  0.67980745  0.35005948  0.46781464  0.66630398
  0.42306583  0.41892852  0.52664187  0.52642899]
[ 1.12499059]
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[ 0.15049555]
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[ 0.66519473]
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[ 0.59950801]
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[ 0.39223473]
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[ 0.11268119]
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[ 0.22048054]
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[ 0.0032913]
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[ 0.13475583]
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[ 0.14691656]
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[ 1.2114951]
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[ 0.22419689]
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[ 1.73165485]
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[ 0.09233778]
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[ 0.59346123]
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[ 1.79497624]
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[ 0.11286162]
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[ 0.63612399]
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[ 0.23681021]
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[ 0.74959906  0.45730228  0.50024221  0.38925579  0.45278836  0.35418183
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[ 0.43657266  0.50669914  0.50218161  0.31550279  0.41540853  0.55587788
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[ 0.37996574  0.63450226  0.39767533  0.55698832  0.326441    0.63167014
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[-0.19083066]
[ 0.51366403  0.72279708  0.39358889  0.6596604   0.32897997  0.56443686
  0.38880137  0.27249469  0.49090721  0.66997814]
[ 1.07123356]
[ 0.76076954  0.54641627  0.5117394   0.26871342  0.39744319  0.4924443
  0.61931364  0.64542295  0.58735143  0.48275924]
Progress: 83.7% ... Training loss: 0.295 ... Validation loss: 0.471[ 0.77575904]
[ 0.6251231   0.70225459  0.54916192  0.47004975  0.4332591   0.57357243
  0.42604596  0.48766269  0.6394889   0.56042181]
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  0.50759131  0.48158422  0.59363404  0.67027798]
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  0.55784388  0.4200401   0.60474257  0.47577568]
[ 0.07973411]
[ 0.24653339  0.65731791  0.40480041  0.59771905  0.39483217  0.71621384
  0.5105372   0.65495993  0.42464767  0.48667755]
[ 0.63784538]
[ 0.10342515  0.6020677   0.43543298  0.62561511  0.43143694  0.67943189
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[ 0.53659142]
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[ 0.42917939]
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[ 0.11019196]
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[ 0.03125999]
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[ 0.3318501]
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[ 0.54652299]
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[ 0.25452465]
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[ 0.28666642]
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[ 0.13933986]
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[ 0.11019196]
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[ 0.11862667]
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[ 0.73895266]
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[ 0.06748672]
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[ 0.05609746]
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[ 0.46768842]
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[ 0.19161309]
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[ 1.77679286]
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[ 1.09335391]
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[ 1.27839527]
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[ 0.07371828]
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[ 0.394837]
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[ 0.18011948]
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[ 0.26792171]
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[ 0.3736099]
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[ 1.18518782]
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[ 0.9546653]
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[ 0.51495171]
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[ 0.71146778]
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[ 0.26567595]
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[ 0.15201725]
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[ 1.21061144]
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[ 1.97259905]
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[ 0.63681647]
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[ 0.09521234]
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[ 0.31280914]
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[ 1.95379238]
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[ 0.12908272]
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[ 0.90530527]
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[ 0.14199705]
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[ 0.46454766]
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[ 0.29091856]
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[ 0.01265144]
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[ 0.03022412]
[ 0.30297978  0.69473353  0.43317516  0.68910474  0.3476144   0.70834577
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[ 0.32698657]
[ 0.64330345  0.57968304  0.54593772  0.33838807  0.52227093  0.45295102
  0.56854913  0.60969448  0.60574044  0.38605963]
[ 0.32018164]
[ 0.58913684  0.6364338   0.4305882   0.48567071  0.32371537  0.29585061
  0.65357846  0.73529487  0.57280205  0.52273431]
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[ 0.78420535  0.53181506  0.64176874  0.41994333  0.50742384  0.59410917
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[ 0.10894599  0.3412636   0.63943971  0.57126908  0.36643583  0.6202598
  0.37334279  0.473699    0.50841198  0.22787264]
Progress: 84.0% ... Training loss: 0.299 ... Validation loss: 0.484[ 0.63236702]
[ 0.24839993  0.48035477  0.48413286  0.52981016  0.40075917  0.60203049
  0.39866001  0.43301327  0.54066483  0.35087333]
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[ 1.77291631]
[ 0.63753109  0.66169365  0.36732369  0.56021687  0.2561907   0.22829846
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[ 0.48136285  0.82537024  0.28880774  0.7084607   0.31428487  0.62653721
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[ 2.11588929]
[ 0.59221714  0.69787075  0.51435673  0.41633625  0.3665061   0.51558712
  0.47969587  0.53399736  0.64989076  0.51487596]
[ 0.24996477]
[ 0.57806172  0.44479441  0.58310602  0.4308596   0.59906597  0.5498136
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[ 0.61590982]
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[ 1.37842608]
[ 0.70777434  0.61269563  0.62445475  0.35200702  0.45739118  0.47941925
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[ 0.66844923]
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[ 1.03853297]
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[ 0.1264439]
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[ 0.46247438]
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[ 0.50203035]
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[ 0.89631308]
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[ 0.11116165]
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[ 0.28898305]
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[ 0.09296238]
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[ 0.12846428]
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[ 0.26788655]
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[ 0.14129392]
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[ 0.15239271]
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[ 0.28527604]
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[ 0.35005031]
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[ 0.06766451]
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[ 0.22215102]
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[ 0.09227631]
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[ 0.28341668]
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[ 0.0434977]
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[ 0.76441654]
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[ 0.19276065]
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[ 1.56559421]
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[ 0.0033112]
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[ 0.57573644]
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[ 0.29675369]
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[ 0.52154345]
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[ 0.07711846]
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[ 0.44170768  0.79239993  0.37488455  0.67755018  0.34561211  0.60353359
  0.39317968  0.61703492  0.64164698  0.58259529]
[-0.4300765]
[ 0.6725966   0.63975515  0.47308855  0.45603194  0.33258351  0.54979008
  0.43564665  0.50041736  0.5385672   0.64768825]
[ 1.87523579]
[ 0.66060196  0.52320452  0.57911667  0.33639201  0.31148755  0.26171554
  0.58242087  0.74160427  0.49300006  0.29086946]
[ 1.33257021]
[ 0.73323049  0.55634341  0.57980097  0.54313557  0.3956586   0.40003408
  0.43403905  0.55658704  0.52652316  0.45376922]
Progress: 84.3% ... Training loss: 0.308 ... Validation loss: 0.482[-0.39278142]
[ 0.47896517  0.63843382  0.43448931  0.57611316  0.37964066  0.57479078
  0.37513969  0.447274    0.49593435  0.70302998]
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[ 0.18998765]
[ 0.36771347  0.63001946  0.3974482   0.66398689  0.58979505  0.82177811
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[ 0.07135382]
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[ 0.04026]
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  0.3889066   0.34166029  0.56151908  0.65064643]
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[ 0.00955195]
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  0.43593337  0.35198985  0.52307647  0.44156308]
[ 1.35914866]
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  0.53992513  0.69511917  0.74162894  0.30386509]
[ 0.23891639]
[ 0.18430426  0.64615966  0.5567848   0.49497449  0.34791219  0.84041206
  0.3726681   0.38205035  0.46134587  0.59626058]
[ 0.05352451]
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  0.42411541  0.30137818  0.52068226  0.44689141]
[ 0.30328493]
[ 0.39115039  0.68834404  0.3579468   0.66418975  0.24102566  0.48740521
  0.49347123  0.56016116  0.59071581  0.51386167]
[ 0.40769996]
[ 0.25338472  0.67316689  0.40879558  0.60917357  0.3190376   0.52372506
  0.47211277  0.66095793  0.47293044  0.4423334 ]
[ 0.255007]
[ 0.14864894  0.4309531   0.46810322  0.57749374  0.59424605  0.7382013
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[-0.58120955]
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[ 0.15041162]
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[ 0.21158161  0.40459035  0.66019776  0.32615218  0.44873773  0.59502437
  0.41402096  0.4307434   0.45409841  0.39850805]
[-0.28901059]
[ 0.20146886  0.55256921  0.48933411  0.45201113  0.41723708  0.68557443
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[-0.90513907]
[ 0.45553834  0.55661818  0.3244468   0.53444548  0.35430651  0.64895222
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[ 0.19492371]
[ 0.26117931  0.39365605  0.48359225  0.45236162  0.58243136  0.75775462
  0.31417731  0.4610939   0.37587742  0.50000023]
Progress: 84.6% ... Training loss: 0.312 ... Validation loss: 0.503[-0.29037901]
[ 0.56974216  0.59705418  0.39192466  0.61457757  0.33236921  0.41445103
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[ 1.12759986]
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[ 0.34363019]
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[ 0.0817604]
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[ 0.07174424]
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[ 0.1819019]
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[ 0.25560689]
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[ 0.06891036]
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[ 1.12759986]
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[ 0.01676868]
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[ 0.24481037]
[ 0.11447419  0.46777514  0.61139635  0.60516684  0.41464678  0.81090313
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[ 0.22151898]
[ 0.65348355  0.69040483  0.4718529   0.33919353  0.46885421  0.58205306
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[ 0.36595518  0.79808098  0.43773618  0.63899542  0.3807831   0.71052184
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[ 0.48978745  0.4450919   0.66163814  0.37719114  0.49176414  0.54214496
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[ 0.63123144]
[ 0.45058757  0.70023586  0.53339502  0.51426038  0.3720508   0.53612451
  0.44315922  0.55280881  0.72322663  0.45837109]
Progress: 84.9% ... Training loss: 0.297 ... Validation loss: 0.484[ 0.19510133]
[ 0.1635442   0.5093358   0.54049729  0.39136224  0.40801914  0.76806918
  0.3704358   0.42302775  0.38913787  0.51938357]
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[ 0.43826944]
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[ 0.15100805]
[ 0.10367262  0.62254297  0.40947954  0.61569343  0.38718798  0.72570468
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[ 0.3512377]
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[ 0.0183859]
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[ 0.10501151]
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[ 0.17575038]
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[ 0.26387942]
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[ 0.51641968]
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[ 0.6371114]
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[ 0.21498426]
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[ 0.16209815]
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[ 0.5933496]
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[ 0.31194345]
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[ 0.01910701]
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[ 1.86794368]
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[ 0.63518281]
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[ 2.01790441]
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[ 0.20546702]
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[ 0.65248398]
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[ 0.05277219]
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[ 0.76059233]
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[ 0.01478638]
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[ 0.73783409]
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[ 0.11074453]
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[ 0.10501151]
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[ 0.19805409]
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[ 0.75227998]
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[ 0.06832157]
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[ 0.2535821]
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[ 0.35478127]
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[ 0.34629712]
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[ 0.5368859   0.72509918  0.43857997  0.55423442  0.36501831  0.66402611
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[ 0.05054671]
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[ 0.13054746]
[ 0.36025614  0.69078994  0.48997923  0.37608669  0.35450077  0.55919188
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[ 1.47779454]
[ 0.61056346  0.60154572  0.49466796  0.43317724  0.34197713  0.34409019
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[ 0.4527107   0.78680814  0.35220615  0.62095056  0.22748273  0.44403806
  0.4429123   0.5647486   0.69779411  0.4748642 ]
[-0.29029476]
[ 0.78796283  0.48279693  0.61202824  0.35589324  0.3198684   0.31802684
  0.56198846  0.52904353  0.5330334   0.41094349]
[ 0.13975233]
[ 0.22347519  0.73168877  0.32006789  0.44729732  0.30748789  0.61636754
  0.39365516  0.55462979  0.55684971  0.51227924]
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[ 0.27742605  0.45879935  0.53786333  0.55924841  0.40432977  0.77108308
  0.46170065  0.48900787  0.41704969  0.52144454]
Progress: 85.1% ... Training loss: 0.297 ... Validation loss: 0.479[ 0.63072037]
[ 0.26781899  0.6286716   0.40896772  0.66912383  0.52077536  0.7435751
  0.42140168  0.5863357   0.46848664  0.58577635]
[ 1.04125671]
[ 0.49346517  0.64424361  0.39198039  0.53497804  0.29661404  0.40444975
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  0.33128825  0.45330082  0.43131433  0.32824009]
[ 0.04956358]
[ 0.46507784  0.68115766  0.37866298  0.66961322  0.33886684  0.67327393
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[ 0.23559529]
[ 0.1265119   0.57454515  0.53565171  0.3265521   0.4060021   0.80366498
  0.37989958  0.39846822  0.43634071  0.45824871]
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[ 0.48458843]
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[ 0.2655403]
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[ 1.46813025]
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[ 0.82267066]
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[ 0.17369331]
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[ 0.08626703]
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[ 0.47319005]
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[ 0.08487675]
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[ 0.05937991]
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[ 0.44144676]
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[ 0.01239384]
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[ 0.19312197]
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[ 0.07450097]
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[ 0.74694906]
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[ 0.12321521]
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[ 0.27716645]
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[ 0.29655064]
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[ 1.34966443]
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[ 0.5603082]
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[ 0.03424362]
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[ 0.08259876]
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[ 0.02601869]
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[ 0.08044227]
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[ 0.15502922]
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[ 0.06644463]
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[ 0.01579127]
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[ 2.05232972]
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[ 0.26022672]
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[ 0.30064742]
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[ 0.06762624]
[ 0.49006177  0.68035349  0.45795259  0.58106307  0.305569    0.65103314
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[ 0.59443508  0.52100799  0.42831796  0.41611203  0.39476004  0.43579751
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[ 0.19001475]
[ 0.16924531  0.60597809  0.51152854  0.46336603  0.46844862  0.66304506
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[ 0.47329467  0.63614441  0.36608585  0.62824961  0.25891085  0.49212067
  0.4404977   0.56000316  0.53251936  0.55471786]
Progress: 85.4% ... Training loss: 0.305 ... Validation loss: 0.491[-0.17079867]
[ 0.68454429  0.74181152  0.3890393   0.50744333  0.30766923  0.30474396
  0.43267213  0.55723234  0.61452998  0.62881023]
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[ 0.09824977]
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[ 0.16141708]
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[ 0.28528474]
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[ 0.36999259]
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[ 0.27033619]
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[ 0.12002621]
[ 0.52803973  0.69281961  0.46145592  0.41553105  0.36099463  0.51043264
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[ 0.4889145]
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[ 1.31994877]
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  0.5958552   0.51572185  0.61561967  0.70841727]
[ 1.11096725]
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  0.47304765  0.61329624  0.55168189  0.39015229]
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[ 0.16325723]
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[ 0.03055328]
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[ 0.56217884]
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[ 0.03200603]
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[ 0.40296159]
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[ 1.01490991]
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  0.62705372  0.60814184  0.56220935  0.37106948]
[ 0.11335513]
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[ 0.51173225]
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[ 0.13605738]
[ 0.35581084  0.70699079  0.33887748  0.67227082  0.2246889   0.56411335
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[ 0.19290563]
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[ 0.33149401]
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[ 1.10373041]
[ 0.63235011  0.29664406  0.67837932  0.3483093   0.51704258  0.59908342
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[ 0.082277]
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[ 1.88948021]
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[ 0.41970993]
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[ 0.52691239]
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[ 0.063277]
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[ 0.12949919]
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[ 0.30929556]
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[ 0.50721658  0.75266811  0.51708577  0.53871616  0.28916348  0.50699105
  0.49117517  0.58886012  0.59800566  0.43436129]
[ 0.62117208]
[ 0.56285265  0.69952898  0.41464932  0.67662483  0.26736647  0.44153767
  0.45945962  0.46747462  0.59903934  0.65046171]
[ 0.18700449]
[ 0.58834906  0.21469724  0.65676323  0.2488103   0.55173865  0.42126389
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[ 0.6205032   0.66191447  0.46638501  0.48859332  0.327082    0.59503676
  0.46041055  0.55967628  0.60514232  0.66281109]
Progress: 85.7% ... Training loss: 0.303 ... Validation loss: 0.466[ 0.19676332]
[ 0.29662872  0.34004415  0.61403992  0.30642148  0.41710666  0.66106449
  0.3940359   0.51569459  0.46166704  0.40053126]
[ 0.02891828]
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[ 0.09510881]
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[ 0.09066247]
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  0.45253446  0.43308083  0.62090399  0.52193138]
[ 0.39215136]
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[ 0.10279656]
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[ 0.03165212]
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[ 1.03355908]
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[ 0.16171325]
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[ 0.7676544]
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[ 0.47345566]
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[ 0.50476716  0.33510943  0.73900016  0.28887749  0.59552285  0.39426692
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[ 1.12756961]
[ 0.2520058   0.62453757  0.50510009  0.38554816  0.31598999  0.49632395
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[ 0.03153952]
[ 0.64582268  0.46949037  0.61825067  0.32321445  0.4641863   0.35682802
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  0.48893185  0.516855    0.40443407  0.49854032]
Progress: 86.0% ... Training loss: 0.294 ... Validation loss: 0.468[ 0.04694595]
[ 0.34564965  0.62370612  0.48219077  0.61011405  0.41331728  0.65016018
  0.54785776  0.51894231  0.50880981  0.53136103]
[ 0.12458156]
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[ 0.43786823]
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[ 0.91455236]
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[ 0.23968632]
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[ 0.51994648]
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[ 0.85989496]
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[ 1.3067989]
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[ 0.33806237]
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[ 1.26322701]
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[ 0.22367851]
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[ 1.55230128]
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[ 0.32530153]
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[ 0.64796675]
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[ 0.87992507]
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[ 1.10538214]
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[ 0.20174545]
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[ 1.12229687]
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[ 0.94318904]
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[ 0.07690795]
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[ 1.97289878]
[ 0.80634805  0.54405111  0.53910757  0.2928084   0.23731836  0.3207323
  0.52935766  0.62662507  0.632781    0.34279491]
[ 0.81254955]
[ 0.69575885  0.44797919  0.68236471  0.28197253  0.50146812  0.39846576
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[ 0.70720393  0.68567964  0.48890051  0.37466825  0.40797001  0.61367913
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[ 0.21908777]
[ 0.27912444  0.12803203  0.791436    0.305004    0.61468513  0.79919273
  0.36102095  0.29955732  0.18110841  0.4022603 ]
Progress: 86.3% ... Training loss: 0.360 ... Validation loss: 0.484[ 1.14202016]
[ 0.49756907  0.74539054  0.42077854  0.54555516  0.2839338   0.40719277
  0.43613598  0.57551259  0.61733754  0.41429606]
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[ 0.07756252]
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[ 0.08015214]
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[ 1.46729659]
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[ 0.9007036]
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[ 0.04456013]
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[ 0.19693515]
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[ 0.17175327]
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[ 0.45482381]
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[ 1.03491283]
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[ 1.24237699]
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[ 0.46294651]
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[ 0.03656687]
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[ 0.99388827]
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[ 0.13410287]
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[ 0.9712566]
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[ 0.03946495]
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[ 0.21909471]
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[ 0.46816086]
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[ 0.33678292]
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[ 1.40384417]
[ 0.75515953  0.46913428  0.56059101  0.32243748  0.20648786  0.28885488
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[ 0.14322276]
[ 0.09523527  0.49720747  0.51097916  0.59455097  0.49258542  0.79092379
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  0.54865214  0.61555972  0.47058865  0.55711749]
[ 0.47709318]
[ 0.10145908  0.56601163  0.4872211   0.46687671  0.51009471  0.82435072
  0.33635088  0.34550917  0.42436589  0.56009662]
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[ 0.49387116  0.58010158  0.50774066  0.42380202  0.25020368  0.32334719
  0.5156098   0.6141817   0.54401875  0.31453776]
[ 0.91735829]
[ 0.67314692  0.72033815  0.54424486  0.39407514  0.29196543  0.31790978
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[-0.89738272]
[ 0.410703    0.54459136  0.45638525  0.61682761  0.42104177  0.54659655
  0.45938589  0.44836295  0.38617834  0.39867436]
Progress: 86.6% ... Training loss: 0.302 ... Validation loss: 0.479[-0.34030969]
[ 0.69365774  0.6953211   0.45616195  0.46180502  0.30301472  0.42956835
  0.47971896  0.51939067  0.62102869  0.64755555]
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[ 0.61732195]
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[ 0.58534431]
[ 0.1209754   0.64477867  0.42157499  0.62079885  0.36160332  0.82956494
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[ 0.48954186]
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[ 0.12955532]
[ 0.25725087  0.37781561  0.5584713   0.41427265  0.57772641  0.75574132
  0.3731029   0.50693841  0.42024     0.45062231]
[ 0.13046712]
[ 0.14929831  0.37667287  0.61708384  0.42378707  0.44572083  0.7346521
  0.50632584  0.39817636  0.41324113  0.41185136]
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[-0.02183993]
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  0.42683112  0.55898232  0.5903056   0.4333462 ]
[-0.03530007]
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[ 0.080601]
[ 0.48912171  0.67417125  0.38041526  0.45328812  0.30182418  0.53845329
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[-0.18960703]
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[ 0.55249993  0.68961601  0.42322592  0.48643652  0.34402494  0.32762803
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[ 0.49140483]
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  0.3554592   0.37775461  0.40363142  0.52505554]
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  0.52003143  0.43464639  0.48912     0.55067526]
[ 0.31179121]
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  0.47127748  0.46633873  0.52236003  0.40950785]
[ 0.30391495]
[ 0.30793987  0.37083742  0.57025222  0.47650736  0.33013211  0.69973181
  0.39423768  0.50261538  0.54106421  0.29909765]
[ 0.89301268]
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  0.3388339   0.47607442  0.55870994  0.46781941]
[ 0.4488709]
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  0.3057305   0.33142534  0.47644416  0.50292659]
[ 0.47451777]
[ 0.10932667  0.38395173  0.65093646  0.39443752  0.52414418  0.78535209
  0.38938201  0.29992337  0.41092073  0.48185485]
[ 1.71519867]
[ 0.7903259   0.59443485  0.60428359  0.36099164  0.48007737  0.41652675
  0.51044869  0.51733268  0.63846807  0.45708269]
[ 0.36221823]
[ 0.2850094   0.5667321   0.60624225  0.50698243  0.59457384  0.78258464
  0.43729528  0.43047857  0.45909908  0.59291361]
[ 0.28659712]
[ 0.36298035  0.63904535  0.32245173  0.55884659  0.39388349  0.6396477
  0.4692593   0.46551641  0.50880096  0.4117459 ]
[ 0.42765953]
[ 0.55427601  0.29095648  0.69158226  0.15104759  0.46470683  0.50155688
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  0.41005052  0.56929553  0.50014278  0.44408897]
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[ 0.36748962  0.75089689  0.32455752  0.57684612  0.3628701   0.62539648
  0.31892408  0.50199615  0.53849961  0.63442362]
[ 0.0315047]
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  0.43036825  0.54100239  0.44047283  0.39369558]
[ 1.05752941]
[ 0.680518    0.38779661  0.6534609   0.20506876  0.32454227  0.28472768
  0.57348527  0.66268221  0.48011106  0.18899527]
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[ 0.47013511]
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[ 0.03285975]
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[ 0.04179929]
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[ 0.43110372]
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[ 0.44070002]
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[ 0.08140034]
[ 0.57994241  0.64072     0.44760908  0.48974552  0.35180099  0.3670419
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[ 0.10474789]
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[ 0.0333401]
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[ 0.13232948]
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[ 0.39734326]
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[ 0.1038036]
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[ 1.07983071]
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[ 0.8266477]
[ 0.06981545  0.52018003  0.49791759  0.64779538  0.46650334  0.89678491
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[ 0.18997597]
[ 0.51326689  0.54682795  0.65623409  0.37291847  0.50632902  0.76982594
  0.522611    0.47629198  0.42620427  0.59910843]
[ 0.83145593]
[ 0.06406677  0.61951477  0.44568989  0.50753259  0.50365726  0.872332
  0.3937913   0.35309774  0.45200787  0.57606872]
[-0.28081757]
[ 0.41448736  0.46868481  0.57045412  0.37085889  0.46803711  0.6815451
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[-0.44224696]
[ 0.27874051  0.5378265   0.44982685  0.56310966  0.38803879  0.66148019
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[-0.03585146]
[ 0.20219804  0.59826583  0.46380509  0.49685666  0.47471839  0.68915006
  0.38979615  0.46052552  0.50203777  0.39717243]
Progress: 86.9% ... Training loss: 0.310 ... Validation loss: 0.460[-0.79329636]
[ 0.7321971   0.50250199  0.61614697  0.45813042  0.38598846  0.40982805
  0.50091832  0.39612701  0.589862    0.52447476]
[ 0.19374601]
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[ 0.08020716]
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  0.52463221  0.56272537  0.50225197  0.4047241 ]
[ 0.79335651]
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[ 0.04993089]
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[ 0.88750779]
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[ 0.08145337]
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[ 0.33612254]
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[ 0.62290448  0.751995    0.53191381  0.46307483  0.35044777  0.57497144
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[ 0.43444301  0.77147906  0.4857379   0.57312335  0.39071772  0.68606358
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[ 0.02933519]
[ 0.36275674  0.74674902  0.37559798  0.57464193  0.48220707  0.71272447
  0.39503492  0.50768675  0.45746078  0.76145653]
Progress: 87.1% ... Training loss: 0.351 ... Validation loss: 0.537[-0.20062614]
[ 0.45224153  0.28930319  0.54736595  0.52298291  0.45941708  0.6935893
  0.43761691  0.53221607  0.4128375   0.39960733]
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[ 0.28047462]
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[ 0.77036576]
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[ 0.53631254]
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[ 0.0645148]
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[ 0.07851541]
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[ 1.38483109]
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[ 0.1840932]
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[ 0.36820485]
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[ 1.50300868]
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[ 0.24001755]
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[ 0.23312094]
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[ 0.35254506]
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[ 0.25603708]
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[ 0.22208752]
[ 0.64312269  0.41877841  0.66730026  0.37488475  0.55312633  0.5334504
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[ 0.44342742]
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[ 0.24392782]
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[ 0.53503037]
[ 0.37042083  0.57159977  0.6648971   0.38095527  0.46765293  0.52346392
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[ 0.78865809]
[ 0.54166136  0.70711617  0.45328342  0.49808216  0.35984659  0.37313706
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[ 0.60373554]
[ 0.11747988  0.58741144  0.55656118  0.55546676  0.29625066  0.79485099
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[ 0.4557751   0.49244155  0.64138626  0.35628197  0.31012325  0.49638591
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[-0.13002436]
[ 0.24839362  0.70216991  0.3831247   0.64174679  0.38541179  0.56885541
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[ 0.20376772]
[ 0.56367204  0.60253916  0.50249978  0.4313898   0.41890955  0.46956233
  0.56122192  0.34187956  0.60219479  0.56894526]
Progress: 87.4% ... Training loss: 0.311 ... Validation loss: 0.462[-0.95584729]
[ 0.57925144  0.66077672  0.47590382  0.40592757  0.23264784  0.33445268
  0.44989059  0.64922967  0.64336865  0.38384224]
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[ 0.46966921]
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[ 0.31929743]
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[ 0.00936376]
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[ 0.02053396]
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  0.4732391   0.63593313  0.54192158  0.51493754]
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[ 0.45236169]
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[ 0.08190705]
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[ 0.43579381]
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[ 0.36972535]
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[ 0.47734908]
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[ 0.1579838]
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[ 0.05555716]
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[ 0.16494596]
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[ 0.05341029]
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[ 0.34005225]
[ 0.50138963  0.65713907  0.3581624   0.61838746  0.29235691  0.64134179
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[ 0.33944214]
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[ 0.98474821]
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[ 1.38130201]
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[ 1.33035496]
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[ 0.66814893]
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[ 1.19996948]
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[ 0.11189911]
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[ 0.66187772]
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[ 1.15457726]
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[ 0.62180174]
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[ 0.07644643]
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[ 0.3488767]
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[ 0.1787674]
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[ 0.51633086]
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[ 1.2445208]
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[ 0.49398913]
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[ 1.48051657]
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[ 0.60151428]
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[ 0.5763363]
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[ 0.17834903]
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[ 0.82889259]
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[ 0.28273069]
[ 0.34164583  0.6273138   0.40665356  0.70040604  0.58168822  0.77475034
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[ 0.96283979]
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[ 0.85283625  0.59137779  0.61528933  0.42796804  0.36374569  0.4010921
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[-0.20500862]
[ 0.3706127   0.48671002  0.58057832  0.39891436  0.43329206  0.61487888
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[ 0.27644953]
[ 0.13688074  0.58838912  0.55195296  0.45431397  0.49883799  0.865118
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[-1.29464218]
[ 0.47646672  0.67514178  0.56256478  0.48915321  0.38963869  0.45440621
  0.45193883  0.63093129  0.5512903   0.38059579]
Progress: 87.7% ... Training loss: 0.297 ... Validation loss: 0.478[ 0.44413944]
[ 0.18621406  0.63611967  0.47005159  0.48325419  0.32550023  0.62016168
  0.38293176  0.60682162  0.59220658  0.37016035]
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[ 0.10492256]
[ 0.29573688  0.57138669  0.58138793  0.40810928  0.46224624  0.67935791
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[ 0.12304258]
[ 0.21041949  0.77506582  0.34396422  0.63698696  0.37012516  0.74967424
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[ 0.22319845]
[ 0.45769979  0.52714325  0.37861334  0.59107191  0.32857617  0.31001313
  0.49646551  0.52214888  0.55615223  0.58968049]
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[ 0.18859896]
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[ 0.37826803  0.29981054  0.77187381  0.14656426  0.36435174  0.45532534
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[ 0.31313987]
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[ 0.36687843]
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[ 0.67789906]
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[ 0.13901333]
[ 0.52663897  0.50654557  0.46376983  0.47626495  0.33638672  0.45482279
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[ 1.6082304]
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[ 0.50587388]
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[ 0.27003137]
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[ 0.95153705]
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[ 0.11243429]
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[ 0.45910283]
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[ 0.01367347]
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[ 0.18671811]
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[ 0.11655595]
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[ 0.17245787]
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[ 0.18788743]
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[ 0.74175285]
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[ 0.41982961]
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[ 0.31661477]
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[ 0.17599169]
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[ 0.65668292]
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[  5.72592551e-05]
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[ 1.37293263]
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[ 0.27287922]
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[ 0.13765753]
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[ 0.20416977]
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[ 0.67080202  0.56804555  0.5337904   0.31762648  0.30928239  0.34343644
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[ 1.13182592]
[ 0.7597423   0.56571264  0.61184283  0.36548933  0.49765191  0.3714323
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[ 0.19374625  0.57197439  0.48176139  0.5762044   0.35005141  0.70066441
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[ 0.18191888]
[ 0.35504512  0.66052432  0.544738    0.37367118  0.37326195  0.49571765
  0.42822468  0.61056978  0.5485336   0.47834593]
Progress: 88.0% ... Training loss: 0.294 ... Validation loss: 0.478[ 0.11288185]
[ 0.23148786  0.77799397  0.29619012  0.70278857  0.37739574  0.68051768
  0.40549007  0.63284556  0.49559004  0.78448798]
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[ 0.18413568]
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[ 0.33628173]
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[ 0.06281563]
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[ 0.0321295]
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[ 0.30643484]
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[ 0.07863619]
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[ 0.8118762]
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[ 0.01353566]
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[ 1.06534509]
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[ 1.18494316]
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[ 0.03353816]
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[ 0.63668614]
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[ 0.03716932]
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[ 0.55600683]
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[ 0.05434229]
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[ 0.06470964]
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[ 0.12287635]
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[ 0.01120931]
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[ 0.20570458]
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[ 0.48690633]
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[ 0.48036919  0.57869964  0.45069097  0.47983638  0.34956293  0.48385447
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[ 0.35471092]
[ 0.82371734  0.51232687  0.55862567  0.36817904  0.28226499  0.36458002
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[-1.02667803]
[ 0.55942549  0.60282966  0.48176892  0.49367957  0.39324681  0.3533885
  0.51054506  0.75381299  0.56126043  0.33860548]
[-0.02893319]
[ 0.51936537  0.58277779  0.52919919  0.58335872  0.28474917  0.408399
  0.42287092  0.46204802  0.63651974  0.40501948]
[ 0.00866013]
[ 0.20536565  0.46101361  0.6032204   0.31607986  0.46703936  0.69990148
  0.45580696  0.43785543  0.43340513  0.45421747]
[ 0.21793227]
[ 0.69386176  0.59837978  0.5825926   0.56790855  0.35718199  0.35318994
  0.5058971   0.74098393  0.55866465  0.46242459]
Progress: 88.3% ... Training loss: 0.293 ... Validation loss: 0.475[-0.50523873]
[ 0.52264796  0.62910998  0.4366075   0.63153357  0.25122066  0.65514748
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[ 0.02125183]
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[ 0.32152128]
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[ 1.38869076]
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[ 0.23796426]
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[ 0.37517843  0.58386939  0.6608475   0.34810816  0.50699871  0.55535821
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[ 0.25076151]
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  0.53061499  0.5254152   0.53246417  0.55148431]
Progress: 88.6% ... Training loss: 0.291 ... Validation loss: 0.468[ 0.06382708]
[ 0.42339786  0.71476747  0.3369058   0.68160678  0.31641936  0.75592124
  0.29961166  0.47194655  0.51892515  0.71917703]
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[ 0.37849334]
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[ 0.50645208]
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[ 0.15293597]
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[ 0.13820565]
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[ 0.28452906]
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[ 0.00066588]
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[ 0.04859667]
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[ 0.01095792]
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[ 0.37071351]
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[ 0.57855145]
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[ 0.15005186]
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[ 0.6095083]
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[ 0.10164029]
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[ 0.09701194]
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[ 0.37972673]
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[ 1.72287666]
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[ 0.83159351]
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[ 0.35785216]
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[ 0.54426783]
[ 0.12375674  0.60494912  0.5168063   0.57418642  0.34404841  0.61913568
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[ 0.02904684]
[ 0.49015298  0.76647932  0.44363108  0.58854068  0.37800164  0.70544415
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[-1.18354595]
[ 0.25570304  0.5832989   0.39809616  0.62862656  0.33402896  0.50335014
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[ 0.35456392  0.72817738  0.42181637  0.52576281  0.29677068  0.69172783
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[ 0.48718744  0.65824498  0.45094016  0.64450392  0.31853256  0.67401724
  0.44392549  0.64443275  0.61808045  0.60072863]
Progress: 88.9% ... Training loss: 0.304 ... Validation loss: 0.484[ 1.17484843]
[ 0.59953155  0.68514961  0.46132918  0.59846196  0.42823043  0.35549354
  0.48112164  0.65385015  0.57768951  0.69562735]
[ 0.00421198]
[ 0.283277    0.38933921  0.64078692  0.27123287  0.47508273  0.64283659
  0.44733072  0.62580104  0.49566151  0.31111687]
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[ 0.39476843]
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[ 0.35247355]
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[ 0.07813599]
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[ 0.53379409]
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[ 0.19382285]
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[ 0.17437609]
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[ 0.19144556]
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[ 0.84113716]
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[ 0.41167511]
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[ 0.0654427]
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[ 0.04290102]
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[ 0.0855245]
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[ 1.32143315]
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[ 0.19534444]
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[ 0.64670418]
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[ 0.35185334]
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[ 0.08689398]
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[ 0.48537084]
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[ 0.27875678]
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[ 0.36052924]
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[ 0.30285721]
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[ 1.02154522]
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[ 0.65287527]
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[ 0.08495234]
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[ 1.23491813]
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[ 1.06533151]
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[ 0.51587016]
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[ 0.15328349]
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[ 0.96367887]
[ 0.74811628  0.54071877  0.5826963   0.39255975  0.44313609  0.35576362
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[ 0.95024686]
[ 0.67551364  0.59177618  0.50485467  0.47975972  0.27374172  0.43780291
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[ 0.29145739]
[ 0.50410867  0.71648603  0.46745212  0.60324295  0.30975852  0.60618457
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[ 0.33939482]
[ 0.12999929  0.69150314  0.38077843  0.57526701  0.41894681  0.82879248
  0.24911186  0.58509599  0.49899112  0.5685532 ]
Progress: 89.1% ... Training loss: 0.307 ... Validation loss: 0.463[ 0.17191528]
[ 0.34606847  0.49409215  0.51786139  0.24651819  0.37630882  0.54034589
  0.454585    0.48897578  0.52299407  0.35017099]
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[ 0.5476318]
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[ 0.21490455]
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[ 0.18263021]
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[ 0.98449867]
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[ 0.06675975]
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[ 0.44636711]
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[ 0.81774346]
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[ 0.38634552]
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[ 0.40767059]
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[ 0.39669648]
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[ 0.45738678  0.48775006  0.47512243  0.45273787  0.31960054  0.59956449
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[ 0.20145968  0.58978328  0.3476075   0.67980448  0.38437627  0.72441077
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[ 0.69097555  0.39330874  0.58066667  0.45220721  0.5060549   0.46063018
  0.45638015  0.56378602  0.45851839  0.41091039]
Progress: 89.4% ... Training loss: 0.312 ... Validation loss: 0.508[-0.64734409]
[ 0.78160716  0.48440004  0.5296614   0.48859142  0.3231469   0.50857398
  0.4920156   0.41439314  0.59428467  0.56658428]
[ 0.57669528]
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[ 0.60616146]
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[ 1.36014805]
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[ 0.04786258]
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[ 0.13122103]
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[ 0.38632034]
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[ 0.48363623]
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[ 0.51370334]
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[ 0.28452556]
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[ 0.17261285]
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[ 0.08032353]
[ 0.58312159  0.67941183  0.48632396  0.32122975  0.43610488  0.57414954
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[ 0.32449573  0.5831616   0.4870536   0.40585035  0.42416456  0.69263772
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[ 0.52392487  0.63052051  0.42604999  0.42589118  0.37286708  0.44696521
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[ 0.51798317  0.53118271  0.45910819  0.47836528  0.36845641  0.45045377
  0.45254527  0.4519713   0.53342344  0.54940919]
Progress: 89.7% ... Training loss: 0.291 ... Validation loss: 0.469[ 0.15206602]
[ 0.2697348   0.63046825  0.32798495  0.6994065   0.3254124   0.61049787
  0.42651423  0.59115145  0.51767049  0.48097875]
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[ 0.90958064]
[ 0.68332991  0.50618647  0.65752935  0.30900322  0.52144916  0.51477238
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[ 0.78142011]
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[ 0.15409857]
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[ 0.1943111]
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[ 1.20697112]
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[ 0.14292604]
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[ 0.30871449]
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[ 0.14798153]
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[ 0.47297261]
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[ 0.40328287]
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[ 1.18796146]
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[ 0.68910525]
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[ 0.0594128]
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[ 0.88615592]
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[ 0.31403172]
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[ 0.03960052]
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[ 0.14385723]
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[ 0.2861357]
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[ 1.10350444]
[ 0.70032518  0.568082    0.54146576  0.48061375  0.29069455  0.40834011
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[ 0.39716218]
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[ 0.22375988]
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[ 0.10580232]
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[ 0.06352988]
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[ 0.02658841]
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[ 0.5551048   0.67272312  0.45507294  0.46639995  0.26059521  0.34936036
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[ 0.26161118  0.60423     0.41054353  0.572601    0.42522019  0.78170502
  0.33673203  0.58306111  0.41106492  0.54009376]
[ 0.16393674]
[ 0.45465567  0.64842091  0.56696901  0.57905738  0.39792082  0.66648753
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[-0.04455366]
[ 0.56012333  0.4532444   0.59580235  0.52438431  0.30825599  0.36517309
  0.46095841  0.53502637  0.53936732  0.35182426]
[-0.49382196]
[ 0.37962944  0.59553904  0.43215202  0.52296485  0.3923666   0.53954243
  0.35062547  0.48328987  0.40610216  0.60247714]
[-0.29904532]
[ 0.50139044  0.63246798  0.47263513  0.50393195  0.38403694  0.57156861
  0.38566625  0.51414487  0.50591408  0.41475512]
[-0.32619893]
[ 0.63113708  0.64219203  0.42312167  0.33157247  0.35223755  0.57046906
  0.5449114   0.56431797  0.47877945  0.44071543]
Progress: 90.0% ... Training loss: 0.312 ... Validation loss: 0.473[ 1.0548609]
[ 0.83472691  0.38753975  0.73313699  0.27369942  0.46767851  0.31040712
  0.6701663   0.6033053   0.51902208  0.26286282]
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  0.46421235  0.53736118  0.47627045  0.37291974]
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  0.4909967   0.5792479   0.55202278  0.36669128]
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[ 0.35523256  0.6272918   0.57107447  0.59154221  0.46857776  0.65400436
  0.41693348  0.4549537   0.54471642  0.46245369]
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[ 0.55690745  0.61789308  0.47510991  0.61324553  0.38560375  0.52155554
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[ 0.22537188]
[ 0.14581904  0.65690634  0.5287564   0.46578246  0.38901609  0.81078973
  0.36170862  0.37868299  0.45199323  0.56466127]
[ 0.02289234]
[ 0.22224334  0.61360121  0.51279825  0.60372361  0.44164453  0.78553197
  0.44077537  0.42600739  0.46537745  0.55289893]
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  0.39671103  0.45979588  0.39676915  0.45351168]
[ 1.18854389]
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[ 0.21836219]
[ 0.59368198  0.47960439  0.5755122   0.40408352  0.31053277  0.43189876
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[ 0.395737]
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[ 0.47306386]
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[ 0.09833316]
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[ 0.33342206]
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[ 0.33351832]
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[ 0.98482319]
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[ 0.01136208]
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[ 0.18936399]
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[ 0.24489992]
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[ 0.37288039]
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[ 0.32098287]
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[ 0.13657319]
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[ 0.29023393]
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[ 0.23393631]
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[ 0.45031055]
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[ 0.00527289]
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[ 1.77936801]
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[ 1.30550304]
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[ 1.35075438]
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[ 0.67926115]
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[ 0.27062255]
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[ 1.4747616]
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  0.46824089  0.49038354  0.50308821  0.43949623]
[ 0.30651337]
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[ 0.23729805]
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[ 0.35001861]
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[ 0.63826432]
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[ 1.23867475]
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[ 0.4406814]
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[ 0.591083]
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[ 1.63739713]
[ 0.71540437  0.41425531  0.60486212  0.31821505  0.37411819  0.31132889
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[ 0.49930846  0.57184632  0.49564554  0.42030317  0.20885749  0.28466573
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[ 0.72060068  0.69071685  0.4896859   0.29814749  0.42848586  0.47186254
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[-1.1113885]
[ 0.36783522  0.47097317  0.58252168  0.46604472  0.36191339  0.58688462
  0.48314532  0.56119883  0.38861627  0.32119688]
[-0.12015832]
[ 0.1273104   0.64228325  0.49943268  0.57483171  0.33552829  0.69497973
  0.3233638   0.43156044  0.46193658  0.48773531]
[-0.23194979]
[ 0.2135119   0.58781475  0.59876533  0.31417107  0.50372613  0.64381967
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[ 0.5368645]
[ 0.36735577  0.36788129  0.70556236  0.26725092  0.48310931  0.57691405
  0.37621143  0.48397223  0.53490501  0.35699181]
Progress: 90.3% ... Training loss: 0.293 ... Validation loss: 0.478[ 0.59777767]
[ 0.68939667  0.59450132  0.58450331  0.27318961  0.44314742  0.46632253
  0.55310999  0.54344336  0.61653664  0.41113214]
[ 0.61878165]
[ 0.20891118  0.68586483  0.42694747  0.65490337  0.28964062  0.76424299
  0.37295574  0.52946907  0.46808046  0.51564082]
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[ 0.44606671  0.53615477  0.57203288  0.66754245  0.45019324  0.52877749
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[ 0.31582465  0.55100331  0.49377374  0.2642961   0.27739051  0.4778238
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[ 0.34958883  0.53635341  0.5224627   0.323199    0.40345744  0.61840327
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[ 0.11928177]
[ 0.53366121  0.67488056  0.41376215  0.56325085  0.31510783  0.55050595
  0.49680816  0.60521227  0.60406548  0.4960682 ]
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[ 0.30604195  0.70316386  0.36739503  0.6249777   0.42186177  0.6656468
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[ 0.03757648]
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[ 0.4437939]
[ 0.24868638  0.55384678  0.48298464  0.52163238  0.4339229   0.81326308
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[ 0.06506201]
[ 0.7664129   0.69674525  0.4692887   0.5223941   0.29458824  0.37363395
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[ 0.44068389]
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[ 1.07940023]
[ 0.38818928  0.36678912  0.69210535  0.30623507  0.46720893  0.52766546
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[ 0.0860972]
[ 0.10220479  0.50038787  0.60154758  0.60901647  0.33518289  0.81408335
  0.36097898  0.39395132  0.48356276  0.35674345]
[ 1.62307462]
[ 0.73526372  0.43589361  0.60414322  0.31444527  0.2973537   0.36173249
  0.57723626  0.76508293  0.47697116  0.23968034]
[ 0.4535992]
[ 0.48321795  0.66208963  0.43380563  0.63302324  0.45028162  0.56705999
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[ 0.70768192]
[ 0.12569259  0.70636151  0.39582322  0.65312309  0.55565066  0.80255269
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[ 0.02922826]
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[ 0.0043832]
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[ 0.23773353]
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  0.41163944  0.4631696   0.34981101  0.55019236]
[ 0.34088058]
[ 0.31867813  0.31230446  0.73246317  0.28429586  0.50460166  0.62195412
  0.427055    0.43916716  0.44591838  0.30598966]
[ 0.09622871]
[ 0.30846534  0.46289711  0.73234609  0.30968716  0.57259722  0.62486342
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[ 1.74060807]
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[ 0.86221309]
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[ 0.75802725]
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[ 0.14171356]
[ 0.64419877  0.58859232  0.51174296  0.49507974  0.32690928  0.45601601
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[ 0.03143451]
[ 0.14598797  0.49799829  0.51470404  0.43978136  0.48788701  0.753907
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[ 0.16888093  0.48494236  0.56092455  0.26403982  0.4282859   0.68281866
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[ 0.3763302]
[ 0.28888138  0.44701624  0.5177889   0.49253985  0.50165924  0.7169778
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[ 0.2794244]
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[ 0.31645565]
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[ 0.41532315]
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[ 0.49760446]
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[ 0.1167149]
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[ 0.62394425]
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[ 1.24009723]
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[ 0.73014147]
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  0.6155445   0.50592098  0.56357851  0.51690001]
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  0.46390558  0.36292149  0.598588    0.52906695]
[ 2.07406688]
[ 0.55631906  0.25261756  0.6124518   0.35271644  0.42525462  0.43035443
  0.54911343  0.51006688  0.32368327  0.22066166]
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[ 0.63549288  0.39798303  0.64640447  0.28945069  0.51345028  0.54394749
  0.44897771  0.41649112  0.52155944  0.4545227 ]
[-1.01224272]
[ 0.33892367  0.41363612  0.60743249  0.24646964  0.37772392  0.42842023
  0.46204245  0.65728925  0.42735006  0.20183815]
[-0.14625737]
[ 0.49618844  0.700403    0.42319775  0.6063509   0.36566167  0.53349269
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[-0.33720579]
[ 0.44344959  0.60629327  0.56392236  0.37601399  0.30517754  0.43698512
  0.56668173  0.73872883  0.5201277   0.2976889 ]
Progress: 90.6% ... Training loss: 0.298 ... Validation loss: 0.454[-1.03003626]
[ 0.1262424   0.46190825  0.52792066  0.44898167  0.29348992  0.53336024
  0.42654569  0.63299279  0.5512561   0.21323803]
[-0.53813732]
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[ 0.41137494  0.53525026  0.62399747  0.50448347  0.5757563   0.71065976
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[ 0.37026406]
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[-1.19822473]
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  0.45984206  0.49665626  0.56643069  0.16601017]
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  0.45150669  0.60345326  0.54777627  0.4366774 ]
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  0.5036337   0.55045805  0.50486595  0.42330319]
[ 0.37921006]
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  0.33651822  0.34724561  0.4390421   0.50765569]
[-0.35160564]
[ 0.56460723  0.57894861  0.38714079  0.57711441  0.37580444  0.51607302
  0.43294233  0.37233968  0.4815884   0.50230384]
[-0.51723006]
[ 0.77625624  0.57298927  0.57343479  0.45433266  0.41316516  0.46248869
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[ 0.31769824]
[ 0.46791421  0.59413998  0.5328252   0.52590096  0.28264524  0.47751888
  0.55405264  0.74366105  0.53474814  0.28205862]
[-0.37657145]
[ 0.64766567  0.6730813   0.64382627  0.36056429  0.49569829  0.51177041
  0.58533465  0.48597255  0.65095339  0.57309468]
Progress: 90.9% ... Training loss: 0.309 ... Validation loss: 0.498[ 0.79105069]
[ 0.66583551  0.70871347  0.55139356  0.37346719  0.45205072  0.46351408
  0.65036386  0.5588516   0.68112498  0.43117356]
[ 0.82323129]
[ 0.74800864  0.38592642  0.65303377  0.31497939  0.49152991  0.32320953
  0.59658443  0.39602579  0.49151472  0.515271  ]
[ 0.34349362]
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  0.43711152  0.59879302  0.41634354  0.52766544]
[ 0.90062361]
[ 0.28558999  0.41460258  0.59585265  0.33374919  0.4187599   0.49731578
  0.47716216  0.45123532  0.40775656  0.47930292]
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  0.45278364  0.49914476  0.51823104  0.65327908]
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[ 0.15803108]
[ 0.15181406  0.5869918   0.5033844   0.39352303  0.47310238  0.75616078
  0.36168168  0.42390742  0.44962205  0.50019997]
[ 1.01384801]
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  0.45859174  0.63865795  0.63373429  0.42676766]
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[ 0.4857661]
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[ 0.78047269]
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[ 0.68690267]
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[ 0.31098613]
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[ 0.45085869]
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[ 0.72069936]
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[ 0.4630074]
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[ 0.36506915]
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[ 0.06482718]
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[ 0.22553005]
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[ 0.24050155]
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[ 0.85396506]
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[ 0.30660042]
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[ 0.50778833]
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[ 0.03509094]
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[ 0.88120922]
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[ 0.347028]
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[ 0.9108146]
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[ 0.09002829]
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[ 0.27391701]
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[ 0.33537361]
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[ 0.17117445]
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[ 0.37249358]
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[ 0.38597987]
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[ 0.01984869]
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[ 0.23960708]
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[ 0.22375852]
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[ 0.11988882]
[ 0.29183878  0.40685897  0.56234423  0.29116463  0.38832909  0.5537949
  0.46898905  0.57768525  0.46300022  0.26703865]
[ 0.50857142]
[ 0.25285877  0.41166274  0.586105    0.34485711  0.42817393  0.63202158
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[ 0.56060496]
[ 0.48107667  0.64685311  0.47411413  0.62018873  0.2956533   0.66358457
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[-0.36556856]
[ 0.47325784  0.53747905  0.50371181  0.58165702  0.354231    0.62722904
  0.47851038  0.3660003   0.54738788  0.52983898]
Progress: 91.1% ... Training loss: 0.310 ... Validation loss: 0.462[-0.29095423]
[ 0.38177815  0.23811055  0.61207964  0.28823017  0.57637686  0.70239941
  0.41930138  0.50456107  0.4328843   0.33823056]
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[ 0.28699327]
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[ 0.21978195]
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[ 0.12761238]
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[ 0.49050402]
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[ 0.358929]
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[ 0.01866827]
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[ 0.53413622]
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[ 0.18995427]
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[ 0.012432]
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[ 0.16331974]
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[ 0.45834107]
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[ 0.15599743]
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[ 0.54764792]
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[ 0.29939855]
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[ 1.12385179]
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[ 0.61029838]
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[ 0.06922239]
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[ 0.21345736]
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[ 0.0253325]
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[ 0.24070666]
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[ 0.64088874]
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[ 0.47638939]
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[ 0.34959159]
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[ 0.65277392]
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[ 0.37272626]
[ 0.07030224  0.44004981  0.57897042  0.42446908  0.56355619  0.83063961
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[ 0.27552726  0.3966569   0.64218373  0.49924714  0.45740226  0.75525734
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[ 0.29588861  0.4057253   0.65081767  0.35614665  0.51729863  0.68480305
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[ 0.70858746  0.55628645  0.5833258   0.31014692  0.44287037  0.31936412
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[ 0.72987525  0.52981832  0.63502952  0.51402321  0.4395023   0.47911334
  0.4638921   0.61995517  0.60467046  0.43523419]
Progress: 91.4% ... Training loss: 0.331 ... Validation loss: 0.520[ 0.34433929]
[ 0.28099792  0.58219719  0.52572738  0.65104475  0.42551515  0.65396451
  0.40576007  0.50055652  0.51576849  0.38460187]
[ 0.35693702]
[ 0.29686443  0.65941736  0.42109158  0.70400274  0.57343397  0.66840935
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[ 0.22508411]
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[ 0.77627461]
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  0.41933854  0.48811061  0.44526224  0.35246731]
[ 1.87114264]
[ 0.46872236  0.62080206  0.40758018  0.52128179  0.37400906  0.40707902
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[ 0.24342093]
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[ 0.57785693]
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[ 0.34408632]
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[ 0.0888321]
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[ 1.02608423]
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[ 0.29977469]
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[ 0.33380507]
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[ 0.13130438]
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[ 0.32571341]
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[ 0.25454248]
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[ 0.55312685]
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[ 0.36037923]
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[ 0.59725295]
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[ 1.72936195]
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[ 0.18257036]
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[ 0.45320361]
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[ 1.25848175]
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[ 0.89214154]
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[ 0.36545707]
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[ 0.21295489]
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[ 0.27206746]
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[ 1.14762835]
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[ 0.13911065]
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[ 0.08628093]
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[ 0.11620734]
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[ 0.27980891]
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[ 0.21306277  0.46447005  0.5525806   0.31728556  0.36056248  0.55214559
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[ 0.80482015]
[ 0.41071107  0.46455223  0.48388066  0.56845764  0.4512837   0.60133792
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[ 0.09433353]
[ 0.22469326  0.52557131  0.45321614  0.53230454  0.42336791  0.57803549
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[ 0.46035924]
[ 0.35053213  0.54649879  0.54837588  0.42689859  0.36334156  0.58294579
  0.51162795  0.61212822  0.44316877  0.35986972]
Progress: 91.7% ... Training loss: 0.293 ... Validation loss: 0.473[-0.50209708]
[ 0.37247611  0.61498239  0.57566125  0.30681978  0.42834848  0.53415733
  0.48073342  0.57074211  0.60071715  0.52471222]
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[ 0.21419876]
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[ 1.58734989]
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[ 0.63124762]
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[ 0.25971486]
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[ 0.69988185]
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[ 0.36236508]
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[ 0.50043317]
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[ 0.19892287]
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[ 0.35569993]
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[ 1.39410778]
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  0.52376003  0.4550938   0.67391735  0.52868332]
[ 0.25761045]
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  0.46034427  0.44923156  0.56772969  0.37411089]
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[ 0.28915661]
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[ 0.70898811]
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[ 0.10784003]
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[ 0.13351299]
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[ 0.31381165]
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[ 0.04445185]
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[ 0.28279383]
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[ 0.07510771]
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[ 0.15672392]
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[ 0.25954617  0.6452001   0.3190704   0.67163181  0.39780966  0.65401712
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[ 0.53081833]
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[ 0.10968951]
[ 0.35054742  0.26940866  0.7170867   0.24633002  0.5094862   0.5602438
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[ 0.16294167]
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[-0.62239867]
[ 0.35059037  0.65905608  0.45194408  0.58447381  0.42817418  0.62945222
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[-0.62836131]
[ 0.35500016  0.31747312  0.69897018  0.30478672  0.49541746  0.52005658
  0.49352852  0.43984508  0.4074247   0.37682795]
[-0.31484045]
[ 0.59061718  0.47273768  0.61756781  0.32207557  0.45631847  0.6452827
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[-0.10374011]
[ 0.41676014  0.66932853  0.55257789  0.25912145  0.42052776  0.52860271
  0.43553093  0.46261607  0.64622731  0.47174575]
Progress: 92.0% ... Training loss: 0.289 ... Validation loss: 0.468[-0.27771537]
[ 0.40352656  0.51261801  0.50493375  0.46750237  0.26644068  0.35302046
  0.50974464  0.65276177  0.51479705  0.29230594]
[ 0.17185526]
[ 0.32892657  0.66467768  0.42084619  0.68698007  0.30106969  0.52591672
  0.43991583  0.50102113  0.64008507  0.46382784]
[ 0.24118468]
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[-0.17437412]
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[ 0.02483853]
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[ 0.95572741]
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[ 0.48045919]
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[ 0.39579385]
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[ 0.14562477]
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[ 0.65913132]
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[ 0.90343288]
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[ 0.43588501]
[ 0.76192004  0.51712664  0.60444708  0.42299491  0.43180629  0.31471
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[ 0.42868026]
[ 0.70060833  0.47441331  0.56165555  0.29389765  0.38395776  0.24684555
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[ 0.54692176  0.70365903  0.47785507  0.57985502  0.38914354  0.64138269
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[ 0.81144735  0.40966392  0.66321023  0.43941297  0.49147844  0.50010888
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[ 0.31201582  0.3515917   0.67589076  0.16708943  0.52340304  0.49205336
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[ 0.33197306]
[ 0.6181779   0.58203027  0.50469539  0.36194445  0.24599649  0.41966544
  0.52399359  0.54706209  0.51405202  0.42055897]
Progress: 92.3% ... Training loss: 0.291 ... Validation loss: 0.472[ 0.11493377]
[ 0.11651633  0.54506562  0.4444035   0.65912978  0.32310425  0.86037595
  0.36791641  0.5048841   0.43008694  0.41166875]
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[ 0.54244204  0.38836742  0.71038978  0.36333451  0.62442774  0.5286179
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[ 1.68932546]
[ 0.70515158  0.48610254  0.49426451  0.38441979  0.29961443  0.27960365
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[ 0.4469407]
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[ 0.54873799]
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[ 0.60697156]
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[ 0.16724706]
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[ 0.07754572]
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[ 0.04459186]
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[ 0.81573275]
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[ 0.22868298]
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[ 1.29024951]
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[ 0.13183592]
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[ 0.34575175]
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[ 1.08487407]
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[ 0.11078739]
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[ 0.59527737]
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[ 0.44483085]
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[ 0.61980328]
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[ 0.21965824]
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[ 0.55490746]
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[ 1.11809366]
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[ 1.13282198]
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[ 0.02309695]
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[ 0.25417444]
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[ 0.29376159]
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[ 0.91307935]
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[ 0.20053956]
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[ 0.02873063]
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[ 0.59614771]
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[ 0.76438201]
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[ 0.35435432]
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[ 0.13006772]
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[ 0.17677713]
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[ 0.75472731]
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[ 0.21335342]
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[ 0.77607398]
[ 0.50946469  0.50010114  0.55642634  0.3836711   0.42123605  0.54142686
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[ 0.73119125  0.60834398  0.5104428   0.5466258   0.29450115  0.40960696
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[ 0.48443742  0.73338777  0.39121068  0.64577629  0.29716687  0.55310721
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[ 0.03409297]
[ 0.17937547  0.36595282  0.70076053  0.30325141  0.50916565  0.69587981
  0.40008376  0.44040841  0.33640528  0.47843177]
Progress: 92.6% ... Training loss: 0.303 ... Validation loss: 0.488[ 0.40003757]
[ 0.1600857   0.58363424  0.45230585  0.53850752  0.35687309  0.8108038
  0.30996309  0.37024448  0.40690691  0.47464527]
[ 0.35392668]
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[ 0.31578833]
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[ 0.04605672]
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[ 0.26802075]
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[ 0.31092091]
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[ 0.11732684]
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[ 0.30714499]
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[ 1.86524689]
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[ 0.45376447]
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[ 0.01897791]
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[ 1.18181242]
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[ 0.1037605]
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[ 0.09415836]
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[ 0.45516097]
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[ 1.6269479]
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[ 0.2177268]
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[ 0.45517187]
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[ 0.72160814]
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[ 0.13504541]
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[ 0.542035]
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[ 1.86231985]
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[ 1.2539471]
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[ 0.42616852]
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[ 0.61821975]
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[ 1.21521444]
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[ 0.12873198]
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[ 0.42322676]
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[ 0.44422026]
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[ 0.68894648]
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[ 1.20048674]
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[ 0.82380294]
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[ 0.70601724]
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[ 0.06743125]
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[ 0.44407165]
[ 0.34214412  0.30145472  0.7405086   0.32888251  0.44033991  0.63835568
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[ 0.08151622]
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[ 0.05427723]
[ 0.7572875   0.52161015  0.61772533  0.3472357   0.50363721  0.49859269
  0.48942103  0.49021537  0.5727706   0.46422308]
[ 0.5222439]
[ 0.56527981  0.724295    0.4847424   0.45763555  0.26143751  0.36999103
  0.57783969  0.77362806  0.58213992  0.429887  ]
[ 0.22257634]
[ 0.09632622  0.40300919  0.64497279  0.41610431  0.42715231  0.81137162
  0.33323287  0.37346432  0.37729555  0.39432445]
[-0.26099366]
[ 0.34361619  0.63931845  0.51972576  0.36824107  0.44353571  0.53355557
  0.48449502  0.61009092  0.43086084  0.55567581]
Progress: 92.9% ... Training loss: 0.311 ... Validation loss: 0.475[-0.16277217]
[ 0.76257539  0.57593312  0.57608611  0.3687984   0.43861145  0.33313414
  0.54656741  0.5734291   0.64267374  0.3926779 ]
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[ 0.20839801]
[ 0.85548586  0.60885731  0.56815065  0.36863219  0.31201844  0.29046323
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  0.45017279  0.47654861  0.49675658  0.54546747]
[-0.85767331]
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  0.4432695   0.36942181  0.64764794  0.56192749]
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[ 0.2446416]
[ 0.74183539  0.4622659   0.59479734  0.2279004   0.35451975  0.31457968
  0.56875309  0.62171115  0.56973693  0.39464346]
[ 0.07204764]
[ 0.11442591  0.48196078  0.61300247  0.45890242  0.4226617   0.83863325
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[ 1.02519321]
[ 0.83936204  0.38639242  0.73262085  0.2723749   0.46852919  0.30548383
  0.66975435  0.59758016  0.52017007  0.26467215]
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[ 0.29853869  0.46732303  0.60015709  0.22147603  0.5352513   0.67102639
  0.44872556  0.62903854  0.46532706  0.4632734 ]
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  0.41345184  0.46825765  0.46531148  0.47770028]
[ 0.03679073]
[ 0.49243916  0.33271498  0.71560942  0.1487725   0.39274196  0.39129122
  0.57975636  0.57946017  0.51189274  0.20653534]
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[ 0.39608512  0.69503632  0.44209536  0.4995041   0.26296     0.65372123
  0.37516362  0.49367995  0.49422231  0.54517123]
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  0.54596012  0.50487702  0.51341935  0.48814106]
[ 0.51190875]
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[ 0.6220083   0.72859717  0.47157613  0.29347391  0.33646002  0.52692674
  0.5677147   0.55002723  0.5560538   0.49005661]
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  0.61045543  0.61695491  0.61035239  0.26701618]
[ 0.17689019]
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[-1.49550692]
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[ 0.0253369]
[ 0.16588262  0.62996319  0.47005011  0.58331394  0.47711605  0.84173063
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[ 0.05356499]
[ 0.29775361  0.6592308   0.42233383  0.70152777  0.56991533  0.66517137
  0.4083551   0.35289067  0.45971109  0.57658641]
[-0.38833872]
[ 0.40513566  0.46811015  0.47835257  0.53065151  0.46948154  0.6656212
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[-0.43187204]
[ 0.27926577  0.6293438   0.42583596  0.63094105  0.32872084  0.62193374
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[-0.27064613]
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[ 0.49699704]
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[ 0.07679254]
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[ 0.05309519]
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[ 1.24872592]
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[ 1.45574449]
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[ 0.33765537]
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[ 0.24395845]
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[ 1.65628]
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[ 0.1593228]
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[ 0.15308185]
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[ 1.53863464]
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[ 0.23749683]
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[ 0.36492634]
[ 0.46002566  0.43766651  0.45969233  0.43652023  0.38387418  0.28925309
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[ 0.31306054]
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[ 0.74404935  0.72687846  0.58774098  0.30136516  0.32413259  0.29394618
  0.65007133  0.69421063  0.6859424   0.35849656]
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[ 0.39748598  0.28065717  0.72909037  0.26796386  0.5251849   0.58300024
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[ 0.60068275  0.40420887  0.66900542  0.26681119  0.3745495   0.42316214
  0.63586998  0.7170349   0.43824111  0.27782363]
[-0.46883876]
[ 0.33489385  0.70497062  0.45486366  0.59138574  0.41653518  0.64620668
  0.48996911  0.44687059  0.5065627   0.56229622]
[-0.59628854]
[ 0.47021486  0.642752    0.51675068  0.69055001  0.41156303  0.65180552
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[-0.33253282]
[ 0.38626256  0.62841919  0.43836139  0.57897022  0.31647184  0.48702892
  0.35768772  0.55648989  0.62160579  0.42983501]
Progress: 93.1% ... Training loss: 0.296 ... Validation loss: 0.471[-0.12107376]
[ 0.29171291  0.43519677  0.66436897  0.28092818  0.56506589  0.63708028
  0.45606277  0.38448228  0.40717639  0.44026731]
[ 0.75524959]
[ 0.56424746  0.58910727  0.45719212  0.55402837  0.31816702  0.57209946
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[ 0.10829001]
[ 0.27492594  0.64955717  0.46473355  0.63772339  0.28309944  0.61689161
  0.49992791  0.59686267  0.49618424  0.44732448]
[-0.45194765]
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  0.56633329  0.5495579   0.55924116  0.27625117]
[-0.22959019]
[ 0.38213876  0.6830251   0.31266623  0.73511615  0.25644469  0.53965172
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[ 0.5546048]
[ 0.05138167  0.58290718  0.410246    0.63439406  0.42533679  0.87167074
  0.29072023  0.49328671  0.38463737  0.41360817]
[-1.5468981]
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  0.5868572   0.58942908  0.68206004  0.31430476]
[ 0.9730626]
[ 0.72323398  0.33560777  0.696842    0.28941373  0.50689096  0.45738839
  0.5116724   0.45451027  0.46958199  0.38760903]
[ 0.33119191]
[ 0.17706369  0.59139948  0.35131513  0.62367148  0.43149514  0.8940714
  0.32495101  0.65549691  0.45173486  0.56372281]
[ 1.17916648]
[ 0.6453807   0.55435956  0.43640819  0.40957813  0.32709503  0.35069695
  0.50176137  0.56749093  0.62522211  0.37564484]
[ 1.57708069]
[ 0.76915496  0.53214656  0.57436623  0.33497075  0.34029262  0.2377632
  0.55615329  0.61211409  0.58994319  0.29349578]
[ 0.22787571]
[ 0.2608228   0.58179466  0.40942132  0.70824557  0.37837697  0.69405157
  0.41457681  0.32380704  0.54206869  0.56501779]
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[ 0.77671993]
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[ 0.36225854]
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[ 0.20800791]
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[ 0.11626066]
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  0.55771518  0.7837278   0.50239672  0.28139164]
Progress: 93.4% ... Training loss: 0.305 ... Validation loss: 0.448[-0.2697731]
[ 0.36244011  0.47903528  0.4918298   0.62325813  0.53224425  0.57125383
  0.41134743  0.46794939  0.49728946  0.38663007]
[ 0.17015125]
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[ 0.10728514]
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[ 0.16888333]
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[ 0.08015318]
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[ 0.04401181]
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[ 0.13588191]
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[ 0.45179058]
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[ 1.62331247]
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[ 0.19240921]
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[ 0.27683691]
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[ 0.15555026]
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[ 0.67435556]
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[ 0.03799091]
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[-0.23532618]
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  0.57054882  0.40347139  0.44848147  0.41552957]
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[ 0.59167764  0.39507146  0.62035011  0.46983672  0.57927636  0.49674354
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[ 0.44657659  0.65054818  0.39892907  0.55017843  0.32634592  0.62944148
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[ 1.73567618]
[ 0.56584183  0.59925422  0.42500182  0.50072139  0.23456192  0.39224455
  0.437709    0.38650386  0.56104363  0.36896572]
Progress: 93.7% ... Training loss: 0.298 ... Validation loss: 0.483[-0.30510839]
[ 0.42029146  0.68321634  0.3520864   0.48487698  0.48331916  0.66971167
  0.45733065  0.46758771  0.48741689  0.59963679]
[ 0.40659515]
[ 0.19379049  0.53068253  0.60315994  0.43718713  0.54369732  0.74267874
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[ 1.39836702]
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[ 0.46945472]
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[ 0.53850772]
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[ 0.80087947]
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[ 1.84749901]
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[ 0.00475357]
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[ 0.46332029]
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[ 0.06060361]
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[ 0.08643247]
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[ 0.16494563]
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[ 0.11564311]
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[ 0.46244252]
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[ 0.05332226]
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[ 0.60086804]
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[ 0.06135801]
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[ 1.76354591]
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[ 0.38388876]
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[ 0.1054077]
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[ 0.69660909]
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[ 0.22025325]
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[ 0.91904753]
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[ 0.11752862]
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[ 0.03684617]
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[ 0.04674807]
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[ 0.09346979]
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[ 0.50007125]
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[ 0.22840176]
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[ 0.15875604]
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[ 0.25349676]
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[ 0.35256404]
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[ 0.27122363]
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[ 0.30164618]
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[ 0.00764532]
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[ 0.54644359]
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[ 0.26500167]
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[ 0.89741244]
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[ 0.2371023]
[ 0.35546466  0.60888912  0.37341595  0.66031518  0.31900733  0.45861165
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[ 0.08475908]
[ 0.229229    0.66410317  0.38123349  0.71005462  0.39746606  0.7497984
  0.46918816  0.62589202  0.42587458  0.44120671]
[ 0.13643426]
[ 0.30044983  0.81449061  0.40856775  0.72077471  0.34015549  0.78298122
  0.34415047  0.53445006  0.56731055  0.68029179]
[ 0.05487669]
[ 0.6588564   0.48741817  0.54592409  0.39838369  0.43902091  0.51305406
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[ 0.62502781  0.70033852  0.56000679  0.51651785  0.26716525  0.44057835
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[ 0.35750764]
[ 0.22417075  0.49627629  0.4434438   0.43710854  0.56220946  0.78201002
  0.31320567  0.46420601  0.42070394  0.52360953]
Progress: 94.0% ... Training loss: 0.287 ... Validation loss: 0.464[ 0.30087794]
[ 0.1189316   0.32570924  0.60509864  0.46387704  0.48460201  0.61401043
  0.39129131  0.42209016  0.45187831  0.39187668]
[ 0.01860881]
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  0.39360898  0.54324065  0.48369784  0.3737039 ]
[ 0.25860218]
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[ 1.52396317]
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[ 1.09468585]
[ 0.64924899  0.51511142  0.56524189  0.46374511  0.37823275  0.50084952
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[ 0.29840411]
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  0.39528392  0.48308079  0.64620008  0.44586119]
[ 1.69404086]
[ 0.78076299  0.63265096  0.51035631  0.40183005  0.22080646  0.28297388
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[ 0.10331743]
[ 0.16804034  0.39158592  0.70406575  0.31356928  0.43367245  0.72170344
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[ 0.1260983]
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[ 0.03364886]
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[ 0.1610746]
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[ 0.00380578]
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[ 0.21096928]
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[ 0.58502073]
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[ 0.10460821]
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[ 0.08291]
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[ 0.01344594]
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[ 0.0881422]
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[ 0.12163175]
[ 0.10001542  0.68330078  0.34241826  0.49700539  0.39289372  0.8073216
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[ 1.07672338]
[ 0.37307996  0.34508605  0.6329108   0.31869663  0.51473207  0.53739443
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[ 1.34251561]
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[ 0.02091881]
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[ 0.10870341]
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[ 0.2023836]
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[ 0.22913772]
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[ 0.29959852]
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[ 0.09524476]
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[ 0.96829201]
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[ 0.41290196]
[ 0.65230498  0.54572746  0.48759227  0.37892082  0.38803679  0.25769197
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[ 0.72036893]
[ 0.61439805  0.70748732  0.57103697  0.32005785  0.50580094  0.52571844
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[-1.36626646]
[ 0.32808522  0.57413509  0.44727087  0.3057748   0.3827257   0.43407669
  0.52816795  0.56869749  0.54556409  0.47982221]
[ 0.36275209]
[ 0.12620722  0.72276748  0.45923727  0.52769657  0.3737081   0.77870011
  0.35273232  0.42312651  0.51864718  0.64170964]
[ 0.78354425]
[ 0.46666224  0.55321791  0.47061846  0.46366256  0.32062933  0.4969349
  0.42872218  0.4184719   0.55916905  0.44573563]
[ 0.20030374]
[ 0.15634188  0.7461136   0.32382687  0.63464008  0.4133441   0.81021102
  0.26977157  0.65609735  0.53206213  0.68259297]
Progress: 94.3% ... Training loss: 0.289 ... Validation loss: 0.472[-0.23026491]
[ 0.33874823  0.46088763  0.47429095  0.46617786  0.45862483  0.60957857
  0.48686023  0.55340844  0.31950248  0.39361079]
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[ 1.49147531]
[ 0.68262343  0.68885727  0.48599573  0.49985658  0.23219771  0.32602842
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[ 0.48008934]
[ 0.21974821  0.54795995  0.50652596  0.34018435  0.36962278  0.65766362
  0.38625128  0.57454204  0.3936852   0.3284243 ]
[ 0.1170934]
[ 0.32627779  0.78954017  0.40586154  0.62730977  0.25179522  0.6225069
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[ 0.43836911]
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  0.45961256  0.48377905  0.52810409  0.53155453]
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[ 0.22208713]
[ 0.46519503  0.69916243  0.45481444  0.58848574  0.39909391  0.69364947
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[ 0.23119539]
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[ 0.0108366]
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  0.44555635  0.43262113  0.38355454  0.54161937]
[ 1.46112694]
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  0.5310194   0.61726462  0.63582638  0.38713811]
[ 0.41918085]
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  0.38241504  0.43818678  0.41071304  0.56975544]
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  0.39685571  0.47776143  0.49425192  0.46033754]
[ 0.56047668]
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  0.4732777   0.77350572  0.58985932  0.39799181]
[ 0.16845368]
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  0.37947527  0.37496229  0.55117001  0.40872488]
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[ 0.36404253  0.37512931  0.46639191  0.52770372  0.47079008  0.49019494
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[ 0.48425362  0.6838634   0.39542236  0.46106785  0.32801949  0.47029229
  0.48719883  0.53822017  0.53763448  0.59163132]
Progress: 94.6% ... Training loss: 0.289 ... Validation loss: 0.470[-0.22922532]
[ 0.1247776   0.55423115  0.63334847  0.41525539  0.43435379  0.69055541
  0.39386385  0.44583428  0.54710935  0.38607959]
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[ 0.39732467]
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[ 0.36855526]
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[ 0.25701078]
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[ 0.42126132]
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[ 0.02049486]
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[ 1.64803293]
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[ 0.17710258]
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[ 1.50820641]
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[ 0.37083118]
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[ 0.05242706]
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[ 0.07179493]
[ 0.18005605  0.59155225  0.44601733  0.36336076  0.50874709  0.76244874
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[ 0.00292794]
[ 0.60550714  0.46483807  0.47448554  0.48042489  0.31406154  0.50649507
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[ 0.31531844  0.59836237  0.40912332  0.6431119   0.3934476   0.71839607
  0.47143313  0.48239387  0.48424839  0.49073869]
Progress: 94.9% ... Training loss: 0.291 ... Validation loss: 0.470[ 0.25060407]
[ 0.11053315  0.22533326  0.68013859  0.37536291  0.56782247  0.73008056
  0.36823805  0.20068287  0.23400934  0.26691855]
[ 0.28496988]
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[ 0.05028095]
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[ 0.35730531]
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[ 0.35439813]
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[ 0.21054724]
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[ 0.64963273]
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[ 0.27132004]
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[ 0.11735539]
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[ 0.10589527]
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[ 0.16611948]
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[ 0.03200143]
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[ 0.77849696]
[ 0.28532771  0.57045552  0.49238488  0.44566562  0.33355379  0.61788962
  0.32336527  0.54873723  0.56132399  0.38129974]
[ 0.20653003]
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[ 0.02340519]
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[ 0.19570143]
[ 0.21609233  0.44059114  0.53907448  0.3367794   0.61943995  0.81156229
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[ 0.16288279  0.55033977  0.56444572  0.51320193  0.21388841  0.57517127
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[ 0.1253763]
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[-0.47208964]
[ 0.35926848  0.63859894  0.41661999  0.69808543  0.22103186  0.645521
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[ 0.26840423]
[ 0.47232238  0.33194824  0.71186703  0.1513235   0.4025889   0.41800199
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[ 0.33518295  0.57672615  0.47038363  0.59703584  0.4425152   0.66645091
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[ 1.37231874]
[ 0.72120786  0.49224765  0.59144646  0.32642031  0.24599442  0.26347319
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[-0.26278024]
[ 0.39311272  0.33956241  0.57618767  0.38957619  0.58959236  0.72056383
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[ 0.11309962]
[ 0.16803202  0.42428721  0.47270035  0.41924407  0.4682044   0.65271691
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[-1.4029422]
[ 0.48590728  0.41398503  0.55396885  0.40843388  0.35027231  0.46375574
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[ 0.55373595  0.69943322  0.42605861  0.45277375  0.38156224  0.61421387
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[ 0.28491268]
[ 0.43675811  0.63325266  0.30110962  0.7170027   0.34924185  0.47141393
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[ 1.95470835]
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[ 0.22686028]
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[ 0.01826677]
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[ 0.20411133]
[ 0.22903592  0.28505266  0.75244505  0.32580419  0.59021695  0.77855805
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[ 0.83327753  0.65364527  0.57953553  0.35249926  0.5059491   0.49048112
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[-0.22063265]
[ 0.3875821   0.73370927  0.39478748  0.6223776   0.27055337  0.69834833
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[ 0.26987864]
[ 0.08890073  0.4795302   0.58737598  0.45591187  0.43600699  0.71197206
  0.42213785  0.45407521  0.54448475  0.34891553]
[-0.47653469]
[ 0.44403056  0.70503865  0.35262052  0.67332193  0.28379743  0.59767265
  0.36364369  0.39577374  0.51149935  0.5808189 ]
[-0.14134975]
[ 0.31994933  0.4649623   0.46898441  0.61583694  0.48863472  0.6332512
  0.42847803  0.36373388  0.47556945  0.53521898]
[-0.03335945]
[ 0.35863597  0.46217871  0.4849339   0.28904289  0.48971435  0.78808003
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[-0.17531365]
[ 0.43520291  0.65396813  0.5498119   0.61803256  0.3875944   0.55049863
  0.43824705  0.54463948  0.56112996  0.48479337]
Progress: 95.1% ... Training loss: 0.307 ... Validation loss: 0.501[-0.12310012]
[ 0.12133949  0.4576148   0.49271755  0.5860622   0.50364374  0.75105417
  0.38234588  0.58645352  0.35729301  0.31294769]
[ 0.38133478]
[ 0.14071928  0.41375989  0.60481607  0.32658976  0.52618182  0.81408024
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  0.411758    0.49418015  0.57353536  0.52676264]
[ 0.89213672]
[ 0.45431143  0.5971762   0.49329266  0.65622942  0.40464721  0.48491626
  0.4538147   0.58534555  0.54770584  0.3292301 ]
[ 0.61678811]
[ 0.80308381  0.4925751   0.58934998  0.24912396  0.45534433  0.28943902
  0.57890972  0.37737965  0.62528775  0.43996521]
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[ 0.3717172   0.58640142  0.31427654  0.53934743  0.32848413  0.4951096
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[-0.40971399]
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  0.42129297  0.55136686  0.53415065  0.48671379]
[-0.3700801]
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  0.4954819   0.32428982  0.59479842  0.48641619]
[-0.35388952]
[ 0.39597949  0.60778443  0.38963217  0.55249169  0.27696002  0.33233543
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[ 0.09490078]
[ 0.47631046  0.58676983  0.40732518  0.54399329  0.356149    0.52583241
  0.38590115  0.48773105  0.51787494  0.53467865]
[ 0.94182138]
[ 0.75196572  0.60539498  0.54017959  0.38536637  0.27175728  0.37355694
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[ 1.09743]
[ 0.44748798  0.42780971  0.58546639  0.31260493  0.4928776   0.67484522
  0.41082119  0.55695542  0.54454646  0.41969294]
[ 0.44651257]
[ 0.10184817  0.5516307   0.37013057  0.54661691  0.37159765  0.74568037
  0.31320299  0.46644296  0.4404942   0.37619652]
[ 0.56229057]
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[ 0.01633484]
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  0.50458068  0.58780416  0.54368765  0.54212747]
[ 0.29658795]
[ 0.20241493  0.80872359  0.25767097  0.65919624  0.41290457  0.82890185
  0.41309818  0.63372073  0.45390544  0.65180596]
[ 0.96250443]
[ 0.63322285  0.55124083  0.58953692  0.38243927  0.44708854  0.53817483
  0.48962537  0.43835276  0.64462936  0.6284242 ]
[ 0.13786227]
[ 0.47734417  0.5676063   0.46305489  0.52779405  0.40186056  0.70903948
  0.42056517  0.47141668  0.53351435  0.67221529]
[ 0.56412691]
[ 0.11605585  0.44832331  0.54199974  0.42160481  0.41252884  0.78058798
  0.26802131  0.3640959   0.30161124  0.34813489]
[ 0.09385975]
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[-0.32471239]
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  0.4885117   0.64437468  0.47645886  0.53364145]
[ 0.08493255]
[ 0.41990454  0.60089688  0.41627905  0.52042852  0.47153109  0.69686849
  0.33353415  0.43328796  0.42377618  0.68621055]
[ 0.91020394]
[ 0.5936615   0.58374419  0.51319741  0.52734203  0.39430528  0.5183221
  0.39014557  0.35477502  0.56953207  0.56452393]
[ 0.18707056]
[ 0.38937711  0.72219215  0.43960331  0.63186758  0.33841617  0.50079464
  0.52980992  0.65248185  0.62177615  0.67873317]
[ 2.1480234]
[ 0.77031329  0.62410441  0.50504338  0.46055663  0.23503817  0.22984868
  0.52810073  0.6057232   0.61293348  0.41532534]
[ 0.30790776]
[ 0.61771969  0.39809019  0.64509911  0.23817438  0.470544    0.45373493
  0.62887528  0.52272956  0.48110891  0.33392097]
[ 0.32917806]
[ 0.28910675  0.61864786  0.36368607  0.70074763  0.24635114  0.60635064
  0.3307623   0.34576323  0.54812202  0.45273764]
[ 0.14270104]
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  0.3560541   0.4195552   0.41211789  0.46960124]
[ 0.18660615]
[ 0.55546632  0.69491604  0.51609329  0.54056666  0.38797838  0.60773517
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[ 0.40273111]
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[ 0.17026721]
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[ 1.8973472]
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[ 1.23705787]
[ 0.7394465   0.46027375  0.57359584  0.29057062  0.23705035  0.26537318
  0.58727567  0.67786199  0.57290112  0.28884284]
[ 0.3061746]
[ 0.23646764  0.67157258  0.50132953  0.55228434  0.5464066   0.72500263
  0.40686418  0.41180692  0.42812189  0.62103443]
[ 0.09888893]
[ 0.1733078   0.65646007  0.32220555  0.43025915  0.27191667  0.82709779
  0.30474957  0.55418038  0.45644676  0.46557685]
[-0.099967]
[ 0.30364183  0.50885053  0.4400903   0.35735514  0.40935536  0.59916969
  0.4281653   0.44219016  0.44277606  0.31091057]
[ 0.57130384]
[ 0.15237161  0.63930782  0.49204651  0.65819399  0.60135987  0.84391093
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[-0.19509191]
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  0.47135855  0.50601538  0.5560699   0.37906167]
[ 1.95496567]
[ 0.83516747  0.61227328  0.6244557   0.18876647  0.38797358  0.33683271
  0.66961486  0.61934212  0.64358982  0.39641479]
[ 0.40192416]
[ 0.09264585  0.2421942   0.708083    0.31484587  0.50694385  0.7914666
  0.39333392  0.2332593   0.37078252  0.27328473]
[ 0.33339013]
[ 0.53938635  0.56595315  0.33093704  0.56176791  0.31739132  0.45954635
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[ 0.08333566]
[ 0.24772787  0.60114655  0.43758961  0.55073399  0.44641689  0.73586673
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[ 0.53644574  0.66959587  0.36199924  0.54347613  0.23693711  0.53627805
  0.37309081  0.38377571  0.54605036  0.46791435]
[ 1.18354295]
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[ 0.25346474  0.34206472  0.53189893  0.5605992   0.4029767   0.59126841
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[ 0.10972762]
[ 0.38261712  0.72914658  0.36280045  0.54369783  0.46323328  0.62812177
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[ 0.4703817   0.55869908  0.49358533  0.59502282  0.32475579  0.47279589
  0.4129632   0.46414916  0.51348768  0.49053947]
[ 1.59328671]
[ 0.24129672  0.62707754  0.50734471  0.45879769  0.31797607  0.50246374
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[ 1.68267512]
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[ 0.18341231]
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[ 0.22944884]
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[ 0.37523943  0.61047914  0.45153955  0.67484148  0.32005704  0.62606935
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[ 0.31597716  0.56547731  0.35413689  0.59603826  0.38742879  0.64287034
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[ 0.06233551]
[ 0.19296081  0.43863399  0.56384268  0.37917429  0.48106322  0.67207832
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[ 0.01203956]
[ 0.63471289  0.5491566   0.55509663  0.31439309  0.42456899  0.65269494
  0.51053996  0.55960173  0.51843382  0.50572057]
Progress: 95.4% ... Training loss: 0.317 ... Validation loss: 0.463[-0.37777754]
[ 0.16924944  0.22438875  0.66139362  0.40255814  0.49864474  0.54784785
  0.55345085  0.40766394  0.36379295  0.39853682]
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[ 0.05761174]
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[ 0.41655562]
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[ 0.05956015]
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[ 0.14587679]
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[ 0.23009167]
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[ 0.97093552]
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[ 0.5465509]
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[ 0.14816997]
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[ 0.06456421]
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[ 0.32759074]
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[ 0.0955592]
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[ 0.14364578]
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[ 0.20302954]
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[ 0.45247078]
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[ 0.16222391]
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[ 0.20813317  0.30191722  0.71177534  0.3389968   0.4091611   0.68816426
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[ 0.08700048]
[ 0.26565256  0.52520691  0.51596001  0.4670801   0.5479514   0.73679494
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[ 0.16188711]
[ 0.17746972  0.35415345  0.59289135  0.41108695  0.46566179  0.67866624
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[ 0.31092369  0.50109822  0.63886568  0.34775259  0.4493502   0.58343684
  0.45560195  0.46936133  0.40313574  0.46767246]
Progress: 95.7% ... Training loss: 0.295 ... Validation loss: 0.482[ 0.24580506]
[ 0.09714185  0.39134835  0.6814717   0.32889868  0.44558884  0.81025523
  0.40207685  0.32052079  0.45405624  0.35065254]
[ 0.27531403]
[ 0.76473315  0.51121297  0.53654895  0.47823677  0.35771989  0.50758603
  0.50691651  0.41125991  0.51966683  0.59862146]
[ 0.16263882]
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  0.4529937   0.37925229  0.33464189  0.50272417]
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  0.38714881  0.51702793  0.59206076  0.34934505]
[ 1.75074889]
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[ 0.26127252]
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[ 0.13671516]
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[ 0.82435048]
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[ 0.44409572]
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[ 0.59092361]
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[ 0.73944766]
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[ 0.21091309]
[ 0.27437077  0.23351841  0.68229459  0.43672886  0.48375033  0.70151265
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[ 1.28044784]
[ 0.33035599  0.29707416  0.69751352  0.36803078  0.38530751  0.66046595
  0.41482942  0.43162185  0.47673213  0.2618564 ]
[ 0.00859651]
[ 0.32649625  0.31142443  0.61740336  0.264983    0.4965156   0.64110772
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[ 0.07233661]
[ 0.44919378  0.67871223  0.4297064   0.5838368   0.21521285  0.5120997
  0.48261129  0.55874425  0.66707936  0.47789399]
Progress: 96.0% ... Training loss: 0.289 ... Validation loss: 0.475[-0.41647636]
[ 0.34881688  0.50570122  0.56576831  0.47085194  0.4475682   0.60645466
  0.52070813  0.50732545  0.44322365  0.4497759 ]
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[ 0.30658952]
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[ 0.22209567]
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[ 0.07546821]
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[ 0.47504356]
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[ 0.13683774]
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[ 0.52420505]
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[ 1.15532141]
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[ 0.20822141]
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[ 0.08540449]
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[ 1.68190128]
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[ 0.97048599]
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[ 0.17035388]
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[ 0.01179402]
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[ 0.56204781]
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[ 0.10633219]
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[ 1.0019375]
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[ 0.22563204]
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[ 1.65762216]
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[ 1.86838336]
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[ 1.65654627]
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[ 0.25334337]
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[ 0.14637688]
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[ 0.02878113]
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[ 0.0093402]
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[ 0.68373934]
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[ 0.00901347]
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[ 0.49829068]
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[ 0.09080849]
[ 0.26256382  0.73141308  0.41701365  0.57377791  0.32173019  0.73605464
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[ 0.41604539  0.38792361  0.60814853  0.25803053  0.41756491  0.46441358
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[ 0.06730662  0.37200912  0.60152535  0.5192537   0.41144954  0.83003733
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[ 0.40828562  0.54322136  0.43707476  0.66893558  0.46010013  0.57780257
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[ 0.0889551]
[ 0.72546093  0.55576857  0.43981239  0.39824214  0.32672677  0.2323897
  0.54235779  0.45530033  0.61575208  0.36943824]
Progress: 96.3% ... Training loss: 0.287 ... Validation loss: 0.469[ 0.24684577]
[ 0.28851815  0.34975561  0.62337323  0.31350886  0.52189551  0.6310216
  0.4477529   0.34369039  0.48065752  0.3511095 ]
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[ 0.10234152]
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[ 0.15039496]
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[ 0.56643254]
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[ 0.03475343]
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[ 0.59396627]
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[ 1.26255176]
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[ 0.3247298]
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[ 0.20382783]
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[ 0.22428983]
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[ 0.34182852]
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[ 0.46326285]
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[ 0.00484723]
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[ 0.19957351]
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[ 0.07638755]
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[ 0.17687203]
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[ 0.05055433]
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[ 0.06205925]
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[ 0.44198449]
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[ 1.10063603]
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[ 0.05472017]
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[ 0.26789849]
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[ 0.60554022]
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[ 0.64129975]
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[ 0.0177554]
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[ 0.09851264]
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[ 1.0405373]
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[ 0.09635417]
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[ 0.24194141]
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[ 0.0745389]
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[ 0.76849659]
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[-1.18779947]
[ 0.47829103  0.67886639  0.55772626  0.45755149  0.36029539  0.51524304
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[ 0.8942789]
[ 0.4047604   0.72769484  0.45934886  0.43779001  0.33750435  0.50644196
  0.46139415  0.57701046  0.54988799  0.46526178]
[ 0.19131567]
[ 0.84676284  0.60116231  0.59774159  0.43846678  0.47394986  0.39489743
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[ 0.23020677]
[ 0.77591155  0.52146735  0.56854053  0.25359594  0.38011001  0.25568605
  0.53781643  0.59538979  0.5593917   0.48429991]
Progress: 96.6% ... Training loss: 0.301 ... Validation loss: 0.493[-0.04433515]
[ 0.70736965  0.63854252  0.52208047  0.52121264  0.38932552  0.44032762
  0.49284531  0.61146474  0.59337827  0.53146211]
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[ 1.8156376]
[ 0.38234411  0.48370036  0.46840709  0.41672047  0.33464517  0.45597047
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[ 0.01888747]
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[ 0.00386176]
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[ 0.34262821]
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[ 0.17821685]
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[ 0.37159268]
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[ 0.20158737]
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[ 0.14464884]
[ 0.135791    0.54953304  0.54342937  0.45448044  0.40864922  0.79745344
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[ 0.27572094]
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[ 0.80308048]
[ 0.18602105  0.5820277   0.50198536  0.58335074  0.3713061   0.52717898
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[ 0.18464763]
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  0.37886297  0.52191802  0.3482051   0.37542978]
[ 0.02976219]
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[ 0.17713938]
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[ 0.37431666]
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[ 0.09702644]
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[ 0.14810297]
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[ 1.46088436]
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[ 0.56884945]
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[ 0.49775633]
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[ 0.4187877]
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[ 0.0008708]
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[ 0.58535527]
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[ 0.0147694]
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[ 0.00078744]
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[ 0.43662503]
[ 0.21556068  0.53835462  0.49340191  0.41938756  0.43043915  0.63381794
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  0.45893849  0.35203435  0.35645714  0.47832463]
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[ 0.45811223  0.33112141  0.73202065  0.29313139  0.61828623  0.46256463
  0.50662093  0.44485701  0.36669225  0.4330051 ]
[ 2.18904428]
[ 0.60679717  0.49586169  0.47912752  0.47229618  0.2541241   0.32302727
  0.58449166  0.74978655  0.53155148  0.21726421]
[ 0.32281432]
[ 0.17498387  0.50415456  0.51439992  0.56047139  0.29216509  0.6718272
  0.50375703  0.50771836  0.5378089   0.33304027]
[-0.04743889]
[ 0.43551029  0.75886797  0.50701875  0.42234123  0.47197973  0.77768443
  0.54097225  0.37384012  0.62698585  0.74730265]
Progress: 96.9% ... Training loss: 0.294 ... Validation loss: 0.477[-0.06451888]
[ 0.81473796  0.63812973  0.48052603  0.31637298  0.39386645  0.33846729
  0.50521957  0.46236056  0.56674119  0.59468863]
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[ 1.24116661]
[ 0.69423904  0.65139342  0.55789363  0.34521913  0.43079066  0.32998746
  0.6310417   0.58325527  0.6362668   0.41565414]
[ 0.73558118]
[ 0.42323574  0.65070964  0.42511461  0.68480634  0.21383018  0.46378524
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  0.51450575  0.42649362  0.59222374  0.4105075 ]
[ 0.20660231]
[ 0.19652447  0.42364111  0.52854645  0.37040196  0.45903378  0.73905235
  0.33951808  0.4146827   0.353052    0.38858198]
[ 0.91716546]
[ 0.63306565  0.54257933  0.50763184  0.54284414  0.27765923  0.50999788
  0.41314799  0.45547104  0.54425742  0.50432996]
[ 0.25553066]
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  0.37378076  0.59189002  0.41921563  0.65493955]
[-1.05765062]
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  0.48925197  0.51078295  0.30300875  0.09085005]
[ 1.58939632]
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  0.4083454   0.41598674  0.65767096  0.37642743]
[ 0.89949521]
[ 0.80526949  0.67449144  0.55864372  0.31531477  0.33752029  0.31426495
  0.5767905   0.70618794  0.68011364  0.37797572]
[ 0.05971689]
[ 0.09104219  0.48301545  0.66999798  0.43236167  0.38011852  0.85008452
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[ 0.28230081]
[ 0.25636885  0.71039644  0.30017887  0.59845506  0.2798863   0.68276024
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[ 0.34424354]
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[ 0.6207495]
[ 0.41034656  0.33187058  0.65673747  0.33584545  0.57008523  0.68442645
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[ 0.61041077  0.69901816  0.405222    0.53231792  0.27616245  0.63703753
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[ 0.37365264  0.47281043  0.65766712  0.2598236   0.31788671  0.43257512
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[ 0.23746027]
[ 0.25481282  0.64847434  0.51062756  0.34732046  0.35094939  0.66557247
  0.44698035  0.69542684  0.64500404  0.366259  ]
Progress: 97.1% ... Training loss: 0.288 ... Validation loss: 0.466[ 1.54039977]
[ 0.51222506  0.60309018  0.36686008  0.67001647  0.34726052  0.38181944
  0.56675185  0.41669228  0.57612376  0.74670832]
[ 0.84957985]
[ 0.49537008  0.48953955  0.5051236   0.53926258  0.39453162  0.42688932
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[ 0.20797673]
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[ 0.93539969]
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[ 0.18397168]
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[ 0.15003857]
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[ 0.03044258]
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[ 0.23987873]
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[ 0.29114216]
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[ 0.09619697]
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[ 0.57858674]
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[ 0.31490601]
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[ 0.82999386]
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[ 1.20387809]
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[ 0.19348629]
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[ 0.40798849]
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[ 0.27303378]
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[ 0.25960201  0.73359528  0.27201684  0.62440741  0.3039354   0.5614096
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[ 0.47101819  0.61669506  0.54511387  0.30187883  0.41581373  0.55390687
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[ 0.09859059]
[ 0.14532825  0.26950289  0.6999119   0.32320843  0.55422298  0.78580075
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[ 0.4387192]
[ 0.76666039  0.52783675  0.54979629  0.38923729  0.431342    0.37577037
  0.54630598  0.44756669  0.58278256  0.48469871]
Progress: 97.4% ... Training loss: 0.286 ... Validation loss: 0.461[ 0.53058781]
[ 0.06179831  0.45837291  0.4042839   0.60546505  0.40799129  0.85154629
  0.379901    0.52655741  0.33520257  0.53203591]
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[ 0.24213264]
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[ 0.12683609]
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[ 0.36971879]
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[ 0.56948885]
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[ 0.39456494]
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[ 1.05398871]
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[ 0.25422598]
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[ 0.16189918]
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[ 0.45969782]
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[ 0.17435858]
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[ 1.5214951]
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[ 0.58292193  0.6075256   0.50450272  0.34919114  0.46663375  0.55828564
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[ 1.04701185]
[ 0.29730434  0.55510097  0.46091611  0.4554953   0.37568538  0.48192278
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[ 0.16401338]
[ 0.2059148   0.68693476  0.47668985  0.60094761  0.33447719  0.72917901
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[ 0.02731109]
[ 0.91024669  0.63858789  0.62044724  0.26014399  0.43334772  0.33900487
  0.70151762  0.57345032  0.6767243   0.50917624]
Progress: 97.7% ... Training loss: 0.289 ... Validation loss: 0.474[ 0.05791268]
[ 0.58098806  0.68911731  0.60022663  0.45310811  0.4504853   0.51168945
  0.55935031  0.48715219  0.68529506  0.4598161 ]
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[ 0.45405307]
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[ 0.16049502]
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[ 0.15411315]
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[ 0.39765159]
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[ 0.08770803]
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[ 0.18912616]
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[ 0.03506976]
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[ 0.19148612]
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[ 0.08817047]
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[ 0.32973937]
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[ 0.0237099]
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[ 0.140605]
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[ 1.32143958]
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[ 0.05157211]
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[ 0.02145652]
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[ 1.13473347]
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[ 1.29137593]
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[ 0.47830857]
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[ 0.18058642]
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[ 0.29739357  0.37045329  0.69782352  0.3261305   0.55558948  0.77517849
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[ 0.04162563]
[ 0.19842761  0.39970802  0.65213626  0.29211509  0.5683457   0.672396
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[ 0.77424642  0.68998836  0.56307833  0.39781957  0.52564357  0.51755265
  0.59370686  0.46462736  0.57867239  0.67779471]
Progress: 98.0% ... Training loss: 0.289 ... Validation loss: 0.474[ 0.36489137]
[ 0.05378193  0.53696884  0.4831181   0.56709758  0.33918023  0.76718754
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[ 0.38717197]
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[ 0.15948263]
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[ 0.18712564]
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[ 0.72516595]
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[ 0.5328616]
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[ 0.33518481]
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[ 1.65903482]
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[ 0.0811915]
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[ 0.03412555]
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[ 0.37090404]
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[ 0.35251326]
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[ 0.22639386]
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[ 0.19721036  0.6834106   0.38572737  0.61557076  0.34359975  0.56620869
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[ 0.66426546  0.66134458  0.38647273  0.59962572  0.40709909  0.44877851
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[ 0.55487147  0.44306623  0.57616102  0.25157252  0.47710934  0.45588981
  0.49568084  0.44467141  0.4776108   0.44301504]
Progress: 98.3% ... Training loss: 0.287 ... Validation loss: 0.468[ 0.04260188]
[ 0.21236548  0.79545168  0.43521133  0.68762511  0.36821183  0.82417787
  0.5017946   0.53694915  0.65216526  0.68021223]
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[ 0.27052644]
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[ 0.07767093]
[ 0.09685099  0.44520008  0.58767579  0.48868875  0.45513643  0.77306341
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[ 0.77008471]
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[ 0.20094081]
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[ 0.26918231]
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[ 0.75260634]
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[ 0.2495404]
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[ 0.18444673]
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[ 0.28052929]
[ 0.05663341  0.47139629  0.56372273  0.35388023  0.5008322   0.83560532
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[ 0.0745083]
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[ 0.45910001  0.54942038  0.53955589  0.59281407  0.35681377  0.4051956
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[ 1.10894771]
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[ 0.03302122]
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[ 0.02474616]
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[ 0.28881042]
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[ 0.84401562]
[ 0.54171321  0.72444303  0.56047718  0.44977139  0.43962309  0.61879185
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[ 0.10471774]
[ 0.44575347  0.6743412   0.45309883  0.59031525  0.30814372  0.66497884
  0.40016223  0.2830908   0.6009562   0.66551496]
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[ 0.17326959  0.5621334   0.42235719  0.31274857  0.33759287  0.76796822
  0.32286015  0.40232349  0.3924324   0.37913355]
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[ 0.19106645  0.59226613  0.42780733  0.60945179  0.42007734  0.7810838
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[ 0.28840995  0.62202347  0.46623292  0.45562144  0.40638746  0.75329721
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[ 0.1563557]
[ 0.16465087  0.59546253  0.46229348  0.47335132  0.39513103  0.61573859
  0.46684559  0.60453368  0.65324668  0.27548994]
[-0.28321849]
[ 0.57537643  0.53367452  0.54673773  0.35300789  0.39207207  0.4571227
  0.56231578  0.62731391  0.46558215  0.42029031]
[ 0.10728443]
[ 0.10692103  0.45738731  0.39936918  0.53299102  0.38123204  0.79084771
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[-0.38482017]
[ 0.18636195  0.34427828  0.63716437  0.50649366  0.36215433  0.57629318
  0.48720911  0.51753111  0.44357185  0.40263031]
Progress: 98.6% ... Training loss: 0.289 ... Validation loss: 0.481[ 0.41037244]
[ 0.74517841  0.54156485  0.55070314  0.27875245  0.36433458  0.26995348
  0.5229284   0.60646758  0.56635549  0.4795206 ]
[ 0.09931288]
[ 0.64656043  0.63705564  0.39137496  0.34019292  0.37257761  0.51173425
  0.44555586  0.4391403   0.51241564  0.53307514]
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[ 0.46446912  0.68297015  0.48256487  0.60179963  0.52361202  0.65820899
  0.4522452   0.41670978  0.46383576  0.68364394]
[ 0.28712422]
[ 0.21219991  0.54578905  0.53553434  0.45606827  0.41254529  0.83444842
  0.388427    0.60087487  0.45304869  0.47791774]
[-0.03998261]
[ 0.35036105  0.81875681  0.28413823  0.67129066  0.3642548   0.6354752
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[ 0.01288401]
[ 0.08566665  0.35042216  0.51491567  0.65244301  0.34799134  0.72045806
  0.33175739  0.49096334  0.41040764  0.31557152]
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  0.48904975  0.45809266  0.61624797  0.54960837]
[-0.21549597]
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  0.47401422  0.40772597  0.62489589  0.58883565]
[ 0.42376723]
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  0.35173032  0.4620515   0.43560823  0.57293009]
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[ 0.63000867]
[ 0.86919989  0.40977159  0.68127639  0.18244549  0.4850324   0.33416058
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[ 0.21167175]
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[ 0.77951913]
[ 0.36086109  0.6844621   0.35367589  0.62970722  0.25199732  0.41637975
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[ 0.34019197]
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  0.35146191  0.41972141  0.5313124   0.43708753]
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[ 0.92216393]
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[ 0.53349852]
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[ 0.70947711]
[ 0.72296331  0.58516709  0.58141005  0.49250366  0.41136376  0.58574596
  0.49646838  0.43834608  0.59536708  0.56206575]
[ 2.0041923]
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  0.54234197  0.65281071  0.6574999   0.31535609]
[ 0.11847659]
[ 0.07189686  0.50629897  0.44010062  0.60278813  0.40978887  0.71814775
  0.37968739  0.36447608  0.40590082  0.35326702]
[ 0.32499957]
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  0.53373805  0.38893197  0.63422001  0.71418129]
[ 0.7182916]
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[ 0.79719871]
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[ 0.43063623]
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[ 1.27363186]
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[ 0.07744666]
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[ 0.03208379]
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[ 1.41669205]
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[ 0.37913244]
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[ 0.55573561]
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[ 0.44022905]
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[ 1.70581824]
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[ 1.88770544]
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[ 0.99440657]
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[ 0.07508294]
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[ 0.90686154]
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[ 1.7300183]
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[ 1.95043284]
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[ 0.40135375]
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[ 0.11976823]
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[ 0.11376222]
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[ 1.36983025]
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[ 2.09284155]
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[ 0.34153083]
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[ 0.0857579]
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[ 0.13790794]
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[ 0.0326406]
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[ 0.05696092]
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[ 0.32177178]
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[ 0.00774859]
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[ 0.7113063]
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[ 0.12726347]
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[ 0.07823335]
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[ 0.64584436]
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[ 0.28886079]
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[ 1.06572652]
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  0.45476999  0.42910857  0.59748073  0.47834853]
[ 0.03086486]
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[ 0.30687352]
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[ 0.07604984]
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[ 0.5215929]
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[ 0.29507527]
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[ 0.06755875]
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[ 0.48887613]
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[ 1.17492132]
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  0.46503349  0.52276342  0.60811072  0.47840459]
[ 0.60302204]
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[ 0.19751926]
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[ 0.4786456   0.47717835  0.5459417   0.56104577  0.48054761  0.59121222
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[ 0.55705573]
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  0.32185734  0.38152035  0.42161459  0.49826261]
[ 0.83750778]
[ 0.7965958   0.62627709  0.47470077  0.49967477  0.27371061  0.33568979
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[ 0.10818712]
[ 0.20799296  0.4899563   0.45679347  0.59622434  0.37826546  0.69882034
  0.39124     0.42760779  0.42162706  0.36979252]
[ 0.10657943]
[ 0.54613034  0.64549553  0.4035107   0.53339721  0.25914152  0.36355416
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[-0.09132673]
[ 0.40898253  0.60267906  0.47048612  0.5207575   0.31387433  0.68169055
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[ 0.25207289]
[ 0.58933901  0.38562136  0.55558504  0.36828193  0.51490808  0.60052895
  0.55991243  0.4421402   0.48858217  0.47176444]
Progress: 98.9% ... Training loss: 0.367 ... Validation loss: 0.484[-0.74093253]
[ 0.54328408  0.63058138  0.44680518  0.65447862  0.25512621  0.53772125
  0.37987273  0.38317785  0.53354795  0.51814262]
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[ 0.10208184]
[ 0.81902539  0.5067829   0.56499352  0.18592008  0.35034951  0.22028582
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[ 0.38634189]
[ 0.5703806   0.64480068  0.57645     0.56009233  0.47633841  0.5584125
  0.37558919  0.48364666  0.58241245  0.52685141]
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  0.66957193  0.71444862  0.5926769   0.51336594]
[ 0.27653408]
[ 0.0557894   0.47464956  0.61740446  0.60913244  0.42925962  0.90789764
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[ 0.1826647   0.41999991  0.65092955  0.4423714   0.34911933  0.79545138
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[ 0.53928958  0.60939283  0.52216743  0.38475954  0.32519003  0.57381875
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[ 0.02525079]
[ 0.23392919  0.3510916   0.68442099  0.2343035   0.5916436   0.82843295
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[-1.51428164]
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  0.46968976  0.62279499  0.53840865  0.21753382]
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[ 0.59054956  0.55995832  0.56811534  0.33107091  0.58686708  0.54573761
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  0.54770022  0.47946336  0.52936016  0.51260341]
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  0.44759168  0.50403037  0.57002827  0.53123806]
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[ 0.36650801  0.61279461  0.49275392  0.50026853  0.45558077  0.71737883
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[ 0.10828356]
[ 0.13747548  0.38364673  0.74839913  0.30128419  0.46206743  0.72137399
  0.43230422  0.40261038  0.51012758  0.21913052]
[-1.15447225]
[ 0.13269951  0.50554132  0.62228033  0.36180651  0.33805201  0.68477198
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  0.3182907   0.48281654  0.48748684  0.50113303]
[ 0.22615526]
[ 0.14573659  0.45094841  0.64461074  0.33416659  0.51066095  0.82207962
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[ 0.28019987]
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[ 0.17334354]
[ 0.39070945  0.47956605  0.44684295  0.48520518  0.40588637  0.36866117
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[ 0.13176869]
[ 0.36801236  0.53507462  0.55009623  0.33955231  0.37334487  0.52638793
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[ 1.51987271]
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[ 0.71034475]
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[ 0.40716177]
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[ 0.51151807]
[ 0.06167951  0.53778737  0.43778844  0.59003433  0.51826058  0.85399967
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[ 0.15681832]
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[ 0.74483031  0.52383233  0.5210717   0.42564076  0.39642251  0.32207505
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[ 0.03657371]
[ 0.2435567   0.63404375  0.47932084  0.55754626  0.38105517  0.76956646
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[ 0.68691138]
[ 0.69184379  0.74276395  0.49981596  0.32622542  0.31459816  0.49325086
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  0.42040828  0.56273859  0.56126759  0.50317733]
Progress: 99.1% ... Training loss: 0.319 ... Validation loss: 0.515[ 0.13461293]
[ 0.61549208  0.76292527  0.34263345  0.34983349  0.37763322  0.60063236
  0.4504686   0.42940551  0.5591696   0.69345378]
[ 0.16374248]
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[ 0.11947271]
[ 0.27302227  0.57401345  0.49434155  0.33279582  0.42086302  0.69541703
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[ 1.25481222]
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[ 0.7335058]
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[ 0.09370136]
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[ 0.15898326]
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[ 2.25939486]
[ 0.7531842   0.43719781  0.56580648  0.46171743  0.2337711   0.34313785
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[ 0.49152037]
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[ 0.35770404]
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[ 0.36346106]
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[ 0.27326344]
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[ 0.04908176]
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[ 0.61614384]
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[ 1.12594586]
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[ 0.04668899]
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[ 0.20434108]
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[ 0.43258206]
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[ 1.23819558]
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[ 0.09616973]
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[ 0.00081972]
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[ 2.10153762]
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[ 0.91184455]
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[ 0.47029472]
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[ 1.98860057]
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[ 0.37741938]
[ 0.41602586  0.706921    0.335489    0.6584706   0.43580453  0.64874311
  0.40752141  0.2535355   0.40625201  0.67476657]
[ 0.12551667]
[ 0.47242851  0.70996114  0.29815235  0.65815614  0.37199036  0.6761314
  0.3694931   0.36900631  0.53599263  0.72767941]
[ 0.09620031]
[ 0.08166288  0.45086562  0.67645083  0.33459096  0.42837774  0.78967635
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[ 0.38385856  0.38698514  0.60324654  0.3821522   0.49279492  0.63622646
  0.46047468  0.56558411  0.46511019  0.39047902]
Progress: 99.4% ... Training loss: 0.365 ... Validation loss: 0.483[ 0.54533038]
[ 0.05246777  0.61268198  0.42218418  0.56828777  0.43728881  0.90443349
  0.34378847  0.43403013  0.39180955  0.50089066]
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  0.464782    0.63707666  0.56740332  0.34345327]
[-0.70922689]
[ 0.66737735  0.66203049  0.49271318  0.41625626  0.3158195   0.29646681
  0.49927098  0.47320737  0.61688406  0.44244102]
[-0.11603584]
[ 0.24171422  0.43467786  0.46236642  0.43491532  0.45619881  0.81114997
  0.40590646  0.6386039   0.36717203  0.38319744]
[-0.80297856]
[ 0.36280915  0.66879946  0.41986023  0.60090231  0.3100886   0.74256271
  0.4531162   0.56590677  0.59620285  0.55468306]
[-0.85813616]
[ 0.52825485  0.62303875  0.44341024  0.59480683  0.44265013  0.3719302
  0.53593905  0.71328839  0.57274478  0.32548468]
[-0.02273957]
[ 0.19989678  0.53367667  0.36852458  0.68274888  0.38935904  0.7822401
  0.38343193  0.58129017  0.44576216  0.51945519]
[-0.06865482]
[ 0.34558998  0.51783563  0.53001612  0.65049032  0.42102748  0.61418787
  0.34974158  0.41541425  0.44374036  0.39175712]
[-0.5314321]
[ 0.33852719  0.64720656  0.43980109  0.55465175  0.32477125  0.70597453
  0.47115483  0.55537853  0.52936001  0.5122851 ]
[-0.0846861]
[ 0.15532068  0.4837242   0.43477889  0.5573452   0.37547017  0.82767062
  0.40588161  0.47758761  0.408844    0.29028448]
[ 0.0565859]
[ 0.43793506  0.33678738  0.53611656  0.54074382  0.51188385  0.47937937
  0.35933958  0.39238446  0.44623317  0.40515392]
[-0.10285221]
[ 0.66865504  0.63903443  0.41574621  0.44024491  0.35752607  0.30808835
  0.60122159  0.56214607  0.66103674  0.30314386]
[-0.53661264]
[ 0.2141554   0.55713254  0.60563173  0.42150165  0.31310098  0.66017015
  0.46500053  0.55302282  0.55752263  0.39986943]
[ 0.10666548]
[ 0.18637119  0.6249021   0.53125252  0.43617704  0.41002532  0.86602531
  0.3156446   0.47848031  0.47123079  0.60949452]
[-0.19709442]
[ 0.35288796  0.61226224  0.42095518  0.47612293  0.46342214  0.73959491
  0.30529781  0.49128464  0.4351188   0.66196433]
[-0.47798875]
[ 0.18410359  0.66724389  0.45832476  0.4586839   0.34361221  0.55288125
  0.48135253  0.52707874  0.62401246  0.42873053]
[-0.4177587]
[ 0.44497284  0.70235626  0.41556635  0.54916963  0.30269198  0.58435507
  0.52214068  0.47449834  0.6298248   0.53817712]
[-0.08247098]
[ 0.13682297  0.5547173   0.46212842  0.54890006  0.36663325  0.75347123
  0.45669115  0.57835348  0.48839247  0.34038154]
[-0.56189884]
[ 0.61114788  0.45006173  0.57588593  0.38046371  0.41483675  0.59931592
  0.49745244  0.61688871  0.39549853  0.47231238]
[-0.48260477]
[ 0.18077383  0.63954374  0.40275173  0.61973022  0.38579658  0.68574786
  0.5156418   0.63837458  0.44467794  0.40064442]
Progress: 99.7% ... Training loss: 0.321 ... Validation loss: 0.514

plt.plot(losses['train'], label='Training loss')
plt.plot(losses['validation'], label='Validation loss')
plt.legend()
_ = plt.ylim()

Check out your predictions

Here, use the test data to view how well your network is modeling the data. If something is completely wrong here, make sure each step in your network is implemented correctly.

fig, ax = plt.subplots(figsize=(8,4))

mean, std = scaled_features['cnt']
predictions = network.run(test_features).T*std + mean
ax.plot(predictions[0], label='Prediction')
ax.plot((test_targets['cnt']*std + mean).values, label='Data')
ax.set_xlim(right=len(predictions))
ax.legend()

dates = pd.to_datetime(rides.ix[test_data.index]['dteday'])
dates = dates.apply(lambda d: d.strftime('%b %d'))
ax.set_xticks(np.arange(len(dates))[12::24])
_ = ax.set_xticklabels(dates[12::24], rotation=45)

OPTIONAL: Thinking about your results(this question will not be evaluated in the rubric).

Answer these questions about your results. How well does the model predict the data? Where does it fail? Why does it fail where it does?

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